{ "processes":[ { "version":"0.2.0", "id":"hello-world", "title":"Hello World", "description":"An example process that takes a name as input, and echoes it back as output. Intended to demonstrate a simple process with a single literal input.", "jobControlOptions":[ "sync-execute", "async-execute" ], "keywords":[ "hello world", "example", "echo" ], "links":[ { "type":"text/html", "rel":"about", "title":"information", "href":"https://example.org/process", "hreflang":"en-US" }, { "type":"application/json", "rel":"self", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/hello-world?f=json", "title":"Process description as JSON", "hreflang":"en-US" }, { "type":"text/html", "rel":"alternate", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/hello-world?f=html", "title":"Process description as HTML", "hreflang":"en-US" }, { "type":"text/html", "rel":"http://www.opengis.net/def/rel/ogc/1.0/job-list", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/jobs?f=html", "title":"Jobs list as HTML", "hreflang":"en-US" }, { "type":"application/json", "rel":"http://www.opengis.net/def/rel/ogc/1.0/job-list", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/jobs?f=json", "title":"Jobs list as JSON", "hreflang":"en-US" }, { "type":"application/json", "rel":"http://www.opengis.net/def/rel/ogc/1.0/execute", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/hello-world/execution?f=json", "title":"Execution for this process as JSON", "hreflang":"en-US" } ], "outputTransmission":[ "value" ] }, { "version":"0.1.0", "id":"points-att-polygon", "use_case":"Daugava", "title":"Group points by region", "description":"Merge data points with the attributes of the study region the points fall into (R function 'points_att_polygon').", "jobControlOptions":[ "sync-execute", "async-execute" ], "keywords":[ "daugava use case", "AquaINFRA", "points_att_polygon", "R" ], "links":[ { "type":"text/html", "rel":"about", "title":"GitHub repo", "href":"https://github.com/AstraLabuce/aquainfra-usecase-Daugava/tree/containerize", "hreflang":"en-US" }, { "type":"text/html", "rel":"about", "title":"Zenodo repo", "href":"https://doi.org/10.5281/zenodo.15112709", "hreflang":"en-US" }, { "type":"application/json", "rel":"self", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/points-att-polygon?f=json", "title":"Process description as JSON", "hreflang":"en-US" }, { "type":"text/html", "rel":"alternate", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/points-att-polygon?f=html", "title":"Process description as HTML", "hreflang":"en-US" }, { "type":"text/html", "rel":"http://www.opengis.net/def/rel/ogc/1.0/job-list", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/jobs?f=html", "title":"Jobs list as HTML", "hreflang":"en-US" }, { "type":"application/json", "rel":"http://www.opengis.net/def/rel/ogc/1.0/job-list", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/jobs?f=json", "title":"Jobs list as JSON", "hreflang":"en-US" }, { "type":"application/json", "rel":"http://www.opengis.net/def/rel/ogc/1.0/execute", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/points-att-polygon/execution?f=json", "title":"Execution for this process as JSON", "hreflang":"en-US" }, { "type":"application/json", "rel":"self", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/points-att-polygon?f=json", "title":"Process description as JSON", "hreflang":"en-US" }, { "type":"text/html", "rel":"alternate", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/points-att-polygon?f=html", "title":"Process description as HTML", "hreflang":"en-US" }, { "type":"text/html", "rel":"http://www.opengis.net/def/rel/ogc/1.0/job-list", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/jobs?f=html", "title":"Jobs list as HTML", "hreflang":"en-US" }, { "type":"application/json", "rel":"http://www.opengis.net/def/rel/ogc/1.0/job-list", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/jobs?f=json", "title":"Jobs list as JSON", "hreflang":"en-US" }, { "type":"application/json", "rel":"http://www.opengis.net/def/rel/ogc/1.0/execute", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/points-att-polygon/execution?f=json", "title":"Execution for this process as JSON", "hreflang":"en-US" } ], "outputTransmission":[ "value" ] }, { "version":"0.1.0", "id":"peri-conv", "use_case":"Daugava", "title":"Group data to groups based on date", "description":"This process groups the data into groups based on the date. If requested (by setting \"year_starts_at_Dec1\"), it adds December to the next year (i.e. all winter months together). In that case, in the result, every year starts at Dec-01 and ends on Nov-30. The process generates the numeric variable \"Year_adj_generated\" to show this change. It generates the character variable \"group_labels\" to allow grouping the data based on the provided periods, and the column \"period_label\" which contains the period definition, e.g. \"Jun-01:Aug-30\" (R function 'peri_conv').", "jobControlOptions":[ "sync-execute", "async-execute" ], "keywords":[ "daugava use case", "AquaINFRA", "peri_conv", "R" ], "links":[ { "type":"text/html", "rel":"about", "title":"GitHub repo", "href":"https://github.com/AstraLabuce/aquainfra-usecase-Daugava/tree/containerize", "hreflang":"en-US" }, { "type":"text/html", "rel":"about", "title":"Zenodo repo", "href":"https://doi.org/10.5281/zenodo.15112709", "hreflang":"en-US" }, { "type":"application/json", "rel":"self", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/peri-conv?f=json", "title":"Process description as JSON", "hreflang":"en-US" }, { "type":"text/html", "rel":"alternate", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/peri-conv?f=html", "title":"Process description as HTML", "hreflang":"en-US" }, { "type":"text/html", "rel":"http://www.opengis.net/def/rel/ogc/1.0/job-list", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/jobs?f=html", "title":"Jobs list as HTML", "hreflang":"en-US" }, { "type":"application/json", "rel":"http://www.opengis.net/def/rel/ogc/1.0/job-list", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/jobs?f=json", "title":"Jobs list as JSON", "hreflang":"en-US" }, { "type":"application/json", "rel":"http://www.opengis.net/def/rel/ogc/1.0/execute", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/peri-conv/execution?f=json", "title":"Execution for this process as JSON", "hreflang":"en-US" }, { "type":"application/json", "rel":"self", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/peri-conv?f=json", "title":"Process description as JSON", "hreflang":"en-US" }, { "type":"text/html", "rel":"alternate", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/peri-conv?f=html", "title":"Process description as HTML", "hreflang":"en-US" }, { "type":"text/html", "rel":"http://www.opengis.net/def/rel/ogc/1.0/job-list", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/jobs?f=html", "title":"Jobs list as HTML", "hreflang":"en-US" }, { "type":"application/json", "rel":"http://www.opengis.net/def/rel/ogc/1.0/job-list", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/jobs?f=json", "title":"Jobs list as JSON", "hreflang":"en-US" }, { "type":"application/json", "rel":"http://www.opengis.net/def/rel/ogc/1.0/execute", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/peri-conv/execution?f=json", "title":"Execution for this process as JSON", "hreflang":"en-US" } ], "outputTransmission":[ "value" ] }, { "version":"0.1.0", "id":"mean-by-group", "use_case":"Daugava", "title":"Return group average", "description":"description: This function calculates and returns the average value for each defined group (for example per site, per year, per season and per HELCOM_ID) (R function 'mean_by_group').", "jobControlOptions":[ "sync-execute", "async-execute" ], "keywords":[ "daugava use case", "AquaINFRA", "mean_by_group", "R" ], "links":[ { "type":"text/html", "rel":"about", "title":"GitHub repo", "href":"https://github.com/AstraLabuce/aquainfra-usecase-Daugava/tree/containerize", "hreflang":"en-US" }, { "type":"text/html", "rel":"about", "title":"Zenodo repo", "href":"https://doi.org/10.5281/zenodo.15112709", "hreflang":"en-US" }, { "type":"application/json", "rel":"self", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/mean-by-group?f=json", "title":"Process description as JSON", "hreflang":"en-US" }, { "type":"text/html", "rel":"alternate", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/mean-by-group?f=html", "title":"Process description as HTML", "hreflang":"en-US" }, { "type":"text/html", "rel":"http://www.opengis.net/def/rel/ogc/1.0/job-list", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/jobs?f=html", "title":"Jobs list as HTML", "hreflang":"en-US" }, { "type":"application/json", "rel":"http://www.opengis.net/def/rel/ogc/1.0/job-list", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/jobs?f=json", "title":"Jobs list as JSON", "hreflang":"en-US" }, { "type":"application/json", "rel":"http://www.opengis.net/def/rel/ogc/1.0/execute", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/mean-by-group/execution?f=json", "title":"Execution for this process as JSON", "hreflang":"en-US" }, { "type":"application/json", "rel":"self", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/mean-by-group?f=json", "title":"Process description as JSON", "hreflang":"en-US" }, { "type":"text/html", "rel":"alternate", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/mean-by-group?f=html", "title":"Process description as HTML", "hreflang":"en-US" }, { "type":"text/html", "rel":"http://www.opengis.net/def/rel/ogc/1.0/job-list", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/jobs?f=html", "title":"Jobs list as HTML", "hreflang":"en-US" }, { "type":"application/json", "rel":"http://www.opengis.net/def/rel/ogc/1.0/job-list", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/jobs?f=json", "title":"Jobs list as JSON", "hreflang":"en-US" }, { "type":"application/json", "rel":"http://www.opengis.net/def/rel/ogc/1.0/execute", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/mean-by-group/execution?f=json", "title":"Execution for this process as JSON", "hreflang":"en-US" } ], "outputTransmission":[ "value" ] }, { "version":"0.2.0", "id":"ts-selection-interpolation", "use_case":"Daugava", "title":"Select and Interpolate Time Series", "description":"This process selects time series with sufficient data for interpolation and returns continuous time series where missing values (NAs) are replaced using linear interpolation (R function zoo::na.approx). The result is a complete time series without gaps. Timeseries with insufficient data are removed. / Split data into sub-tables for each season and HELCOM_ID separately. Create a list to store sub-tables of transparency (R function 'ts_selection_interpolation').", "jobControlOptions":[ "sync-execute", "async-execute" ], "keywords":[ "daugava use case", "AquaINFRA", "ts_selection_interpolation", "R" ], "links":[ { "type":"text/html", "rel":"about", "title":"GitHub repo", "href":"https://github.com/AstraLabuce/aquainfra-usecase-Daugava/tree/containerize", "hreflang":"en-US" }, { "type":"text/html", "rel":"about", "title":"Zenodo repo", "href":"https://doi.org/10.5281/zenodo.15112709", "hreflang":"en-US" }, { "type":"application/json", "rel":"self", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/ts-selection-interpolation?f=json", "title":"Process description as JSON", "hreflang":"en-US" }, { "type":"text/html", "rel":"alternate", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/ts-selection-interpolation?f=html", "title":"Process description as HTML", "hreflang":"en-US" }, { "type":"text/html", "rel":"http://www.opengis.net/def/rel/ogc/1.0/job-list", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/jobs?f=html", "title":"Jobs list as HTML", "hreflang":"en-US" }, { "type":"application/json", "rel":"http://www.opengis.net/def/rel/ogc/1.0/job-list", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/jobs?f=json", "title":"Jobs list as JSON", "hreflang":"en-US" }, { "type":"application/json", "rel":"http://www.opengis.net/def/rel/ogc/1.0/execute", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/ts-selection-interpolation/execution?f=json", "title":"Execution for this process as JSON", "hreflang":"en-US" }, { "type":"application/json", "rel":"self", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/ts-selection-interpolation?f=json", "title":"Process description as JSON", "hreflang":"en-US" }, { "type":"text/html", "rel":"alternate", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/ts-selection-interpolation?f=html", "title":"Process description as HTML", "hreflang":"en-US" }, { "type":"text/html", "rel":"http://www.opengis.net/def/rel/ogc/1.0/job-list", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/jobs?f=html", "title":"Jobs list as HTML", "hreflang":"en-US" }, { "type":"application/json", "rel":"http://www.opengis.net/def/rel/ogc/1.0/job-list", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/jobs?f=json", "title":"Jobs list as JSON", "hreflang":"en-US" }, { "type":"application/json", "rel":"http://www.opengis.net/def/rel/ogc/1.0/execute", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/ts-selection-interpolation/execution?f=json", "title":"Execution for this process as JSON", "hreflang":"en-US" } ], "outputTransmission":[ "value" ] }, { "version":"0.2.0", "id":"trend-analysis-mk", "use_case":"Daugava", "title":"Man-Kendall Trend Analysis on Time Series", "description":"This process performs a Man-Kendall trend analysis to identify the presence or absence of significant trends in time series data. It returns statistical analysis coefficients (e.g., p-values, tau, and slope) for each defined group, allowing for group-wise trend identification (R function 'trend_analysis_mk').", "jobControlOptions":[ "sync-execute", "async-execute" ], "keywords":[ "daugava use case", "AquaINFRA", "trend_analysis_mk", "R" ], "links":[ { "type":"text/html", "rel":"about", "title":"GitHub repo", "href":"https://github.com/AstraLabuce/aquainfra-usecase-Daugava/tree/containerize", "hreflang":"en-US" }, { "type":"text/html", "rel":"about", "title":"Zenodo repo", "href":"https://doi.org/10.5281/zenodo.15112709", "hreflang":"en-US" }, { "type":"application/json", "rel":"self", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/trend-analysis-mk?f=json", "title":"Process description as JSON", "hreflang":"en-US" }, { "type":"text/html", "rel":"alternate", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/trend-analysis-mk?f=html", "title":"Process description as HTML", "hreflang":"en-US" }, { "type":"text/html", "rel":"http://www.opengis.net/def/rel/ogc/1.0/job-list", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/jobs?f=html", "title":"Jobs list as HTML", "hreflang":"en-US" }, { "type":"application/json", "rel":"http://www.opengis.net/def/rel/ogc/1.0/job-list", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/jobs?f=json", "title":"Jobs list as JSON", "hreflang":"en-US" }, { "type":"application/json", "rel":"http://www.opengis.net/def/rel/ogc/1.0/execute", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/trend-analysis-mk/execution?f=json", "title":"Execution for this process as JSON", "hreflang":"en-US" }, { "type":"application/json", "rel":"self", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/trend-analysis-mk?f=json", "title":"Process description as JSON", "hreflang":"en-US" }, { "type":"text/html", "rel":"alternate", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/trend-analysis-mk?f=html", "title":"Process description as HTML", "hreflang":"en-US" }, { "type":"text/html", "rel":"http://www.opengis.net/def/rel/ogc/1.0/job-list", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/jobs?f=html", "title":"Jobs list as HTML", "hreflang":"en-US" }, { "type":"application/json", "rel":"http://www.opengis.net/def/rel/ogc/1.0/job-list", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/jobs?f=json", "title":"Jobs list as JSON", "hreflang":"en-US" }, { "type":"application/json", "rel":"http://www.opengis.net/def/rel/ogc/1.0/execute", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/trend-analysis-mk/execution?f=json", "title":"Execution for this process as JSON", "hreflang":"en-US" } ], "outputTransmission":[ "value" ] }, { "version":"0.1.0", "id":"barplot-trend-results", "use_case":"Daugava", "title":"Visualisation of statistical analysis results", "description":"This process visualizes statistical analysis results, where the test value (stat.value) is plotted on the Y-axis and id are plotted on the X-axis. Bar color is determined by groups and is displayed in the legend. Bar opacity is controlled by the p-value threshold, with translucent bars representing insignificant results based on the provided p_value_threshold (R function 'barplot_trend_results').", "jobControlOptions":[ "sync-execute", "async-execute" ], "keywords":[ "daugava use case", "AquaINFRA", "barplot_trend_results", "R" ], "links":[ { "type":"text/html", "rel":"about", "title":"GitHub repo", "href":"https://github.com/AstraLabuce/aquainfra-usecase-Daugava/tree/containerize", "hreflang":"en-US" }, { "type":"text/html", "rel":"about", "title":"Zenodo repo", "href":"https://doi.org/10.5281/zenodo.15112709", "hreflang":"en-US" }, { "type":"text/html", "rel":"about", "title":"information", "href":"https://example.org/process", "hreflang":"en-US" }, { "type":"application/json", "rel":"self", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/barplot-trend-results?f=json", "title":"Process description as JSON", "hreflang":"en-US" }, { "type":"text/html", "rel":"alternate", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/barplot-trend-results?f=html", "title":"Process description as HTML", "hreflang":"en-US" }, { "type":"text/html", "rel":"http://www.opengis.net/def/rel/ogc/1.0/job-list", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/jobs?f=html", "title":"Jobs list as HTML", "hreflang":"en-US" }, { "type":"application/json", "rel":"http://www.opengis.net/def/rel/ogc/1.0/job-list", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/jobs?f=json", "title":"Jobs list as JSON", "hreflang":"en-US" }, { "type":"application/json", "rel":"http://www.opengis.net/def/rel/ogc/1.0/execute", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/barplot-trend-results/execution?f=json", "title":"Execution for this process as JSON", "hreflang":"en-US" }, { "type":"application/json", "rel":"self", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/barplot-trend-results?f=json", "title":"Process description as JSON", "hreflang":"en-US" }, { "type":"text/html", "rel":"alternate", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/barplot-trend-results?f=html", "title":"Process description as HTML", "hreflang":"en-US" }, { "type":"text/html", "rel":"http://www.opengis.net/def/rel/ogc/1.0/job-list", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/jobs?f=html", "title":"Jobs list as HTML", "hreflang":"en-US" }, { "type":"application/json", "rel":"http://www.opengis.net/def/rel/ogc/1.0/job-list", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/jobs?f=json", "title":"Jobs list as JSON", "hreflang":"en-US" }, { "type":"application/json", "rel":"http://www.opengis.net/def/rel/ogc/1.0/execute", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/barplot-trend-results/execution?f=json", "title":"Execution for this process as JSON", "hreflang":"en-US" } ], "outputTransmission":[ "value" ] }, { "version":"0.1.0", "id":"map-trends-static", "use_case":"Daugava", "title":"Spatial visualisation of regions and data points ", "description":"This process maps the trend analysis results onto a study region map, visually representing each region according to the statistical results (significant increase vs. significant decrease vs. insignificant trend). 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"rel":"http://www.opengis.net/def/rel/ogc/1.0/job-list", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/jobs?f=json", "title":"Jobs list as JSON", "hreflang":"en-US" }, { "type":"application/json", "rel":"http://www.opengis.net/def/rel/ogc/1.0/execute", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/map-trends-static/execution?f=json", "title":"Execution for this process as JSON", "hreflang":"en-US" } ], "outputTransmission":[ "value" ] }, { "version":"0.1.0", "id":"map-shapefile-points", "use_case":"Daugava", "title":"Spatial visualisation of regions and data points ", "description":"This process maps the study region and data point locations on OpenStreetMap, providing a visual representation of the geographic distribution of in-situ data points within the defined study area (R function 'map_shapefile_points').", "jobControlOptions":[ "sync-execute", "async-execute" ], "keywords":[ "daugava use case", "AquaINFRA", "map_shapefile_points", "R" ], "links":[ { "type":"text/html", "rel":"about", "title":"GitHub repo", "href":"https://github.com/AstraLabuce/aquainfra-usecase-Daugava/tree/containerize", "hreflang":"en-US" }, { "type":"text/html", "rel":"about", "title":"Zenodo repo", "href":"https://doi.org/10.5281/zenodo.15112709", "hreflang":"en-US" }, { "type":"text/html", "rel":"about", "title":"information", "href":"https://example.org/process", "hreflang":"en-US" }, { "type":"application/json", "rel":"self", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/map-shapefile-points?f=json", "title":"Process description as JSON", "hreflang":"en-US" }, { "type":"text/html", "rel":"alternate", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/map-shapefile-points?f=html", "title":"Process description as HTML", "hreflang":"en-US" }, { "type":"text/html", "rel":"http://www.opengis.net/def/rel/ogc/1.0/job-list", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/jobs?f=html", "title":"Jobs list as HTML", 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The default La Tordera Basin model is calibrated through a two-step calibration process: an initial soft calibration based on a qualitative evaluation of annual average outputs, followed by an automatic calibration by landscape units using observed gauge data from the Catalan Water Agency (Ag\u00e8ncia Catalana de l'Aigua, https://aca.gencat.cat/). 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For more details, please ask BOKU.", "jobControlOptions":[ "sync-execute", "async-execute" ], "keywords":[ "pan-european use case", "AquaINFRA", "R" ], "links":[ { "type":"text/html", "rel":"about", "title":"GitHub repo", "href":"https://github.com/AnthonyBasooma/specleanr", "hreflang":"en-US" }, { "type":"application/json", "rel":"self", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/check-names?f=json", "title":"Process description as JSON", "hreflang":"en-US" }, { "type":"text/html", "rel":"alternate", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/check-names?f=html", "title":"Process description as HTML", "hreflang":"en-US" }, { "type":"text/html", "rel":"http://www.opengis.net/def/rel/ogc/1.0/job-list", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/jobs?f=html", "title":"Jobs list as HTML", "hreflang":"en-US" }, { "type":"application/json", "rel":"http://www.opengis.net/def/rel/ogc/1.0/job-list", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/jobs?f=json", "title":"Jobs list as JSON", "hreflang":"en-US" }, { "type":"application/json", "rel":"http://www.opengis.net/def/rel/ogc/1.0/execute", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/check-names/execution?f=json", "title":"Execution for this process as JSON", "hreflang":"en-US" } ], "outputTransmission":[ "value" ] }, { "version":"0.1.0", "id":"pred-extract", "use_case":"BOKU", "title":"pred extract for extraction of environmnetal data", "description":"pred_extract. 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Thus, the number of input URLs can be more than one for longer time periods. \n\nFor more details, please ask Syke. Please note that the values of conc. and load may be missing from the first and last lines of the output data. This is due to interpolation of concentration which was carried out between the first and last observations.", "jobControlOptions":[ "sync-execute", "async-execute" ], "keywords":[ "SYKE use case", "AquaINFRA", "R" ], "links":[ { "type":"text/html", "rel":"about", "title":"GitHub repo", "href":"https://github.com/eebruun/aquainfra_TOC_loads", "hreflang":"en-US" }, { "type":"application/json", "rel":"self", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/riverload?f=json", "title":"Process description as JSON", "hreflang":"en-US" }, { "type":"text/html", "rel":"alternate", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/riverload?f=html", "title":"Process description as HTML", "hreflang":"en-US" }, { "type":"text/html", "rel":"http://www.opengis.net/def/rel/ogc/1.0/job-list", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/jobs?f=html", "title":"Jobs list as HTML", "hreflang":"en-US" }, { "type":"application/json", "rel":"http://www.opengis.net/def/rel/ogc/1.0/job-list", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/jobs?f=json", "title":"Jobs list as JSON", "hreflang":"en-US" }, { "type":"application/json", "rel":"http://www.opengis.net/def/rel/ogc/1.0/execute", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/riverload/execution?f=json", "title":"Execution for this process as JSON", "hreflang":"en-US" } ], "outputTransmission":[ "value" ] }, { "version":"0.1.0", "id":"corine-stats-real-areas-finland", "use_case":"SYKE", "title":"Compute areas of CORINE classes within polygons (Finland version)", "description":"This process computes the size of the area in hectares (ha) covered by CORINE Land Cover (CLC) classes within user-defined polygonal regions. The analysis is based on harmonized Finnish CORINE raster datasets for the years 2000, 2006, 2012, and 2018. The harmonization aligns the class definitions across different CLC versions to ensure temporal consistency and comparability. This enables robust detection and quantification of land use and land cover changes over time. The Finnish CLC datasets are an enhanced national version with higher resolution and accuracy than the pan-European CLC data. The harmonization includes reclassification of original classes to a common schema, enabling reliable time-series analysis. The output supports various environmental assessments, such as tracking urban expansion, deforestation, or agricultural change. Please contact the Finnish Environment Institute (Syke, Sampsa.Koponen@syke.fi) for detailed documentation and support in applying this service.", "jobControlOptions":[ "sync-execute", "async-execute" ], "keywords":[ "SYKE use case", "AquaINFRA" ], "links":[ { "type":"text/html", "rel":"about", "title":"GitHub repo", "href":"https://github.com/eebruun/aquainfra_corine", "hreflang":"en-US" }, { "type":"application/json", "rel":"self", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/corine-stats-real-areas-finland?f=json", "title":"Process description as JSON", "hreflang":"en-US" }, { "type":"text/html", "rel":"alternate", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/corine-stats-real-areas-finland?f=html", "title":"Process description as HTML", "hreflang":"en-US" }, { "type":"text/html", "rel":"http://www.opengis.net/def/rel/ogc/1.0/job-list", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/jobs?f=html", "title":"Jobs list as HTML", "hreflang":"en-US" }, { "type":"application/json", "rel":"http://www.opengis.net/def/rel/ogc/1.0/job-list", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/jobs?f=json", "title":"Jobs list as JSON", "hreflang":"en-US" }, { "type":"application/json", "rel":"http://www.opengis.net/def/rel/ogc/1.0/execute", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/corine-stats-real-areas-finland/execution?f=json", "title":"Execution for this process as JSON", "hreflang":"en-US" } ], "outputTransmission":[ "value" ] }, { "version":"0.1.0", "id":"corine-stats-real-areas-europe", "use_case":"SYKE", "title":"Compute areas of CORINE classes within polygons (Europe version)", "description":"This process computes the size of the area in hectares (ha) covered by CORINE Land Cover (CLC) classes within user-defined polygonal regions within Europe. The analysis is based on harmonized European CORINE raster datasets for the years 2000, 2006, 2012, and 2018 with a spatial resolution of 100 meters. The harmonization aligns the class definitions across different CLC versions to ensure temporal consistency and comparability. This enables robust detection and quantification of land use and land cover changes over time. The harmonization includes reclassification of original classes to a common schema, enabling reliable time-series analysis. The output supports various environmental assessments, such as tracking urban expansion, deforestation, or agricultural change. 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Please contact the Finnish Environment Institute (Syke, Sampsa.Koponen@syke.fi) for detailed documentation and support in applying this service.", "jobControlOptions":[ "sync-execute", "async-execute" ], "keywords":[ "SYKE use case", "AquaINFRA" ], "links":[ { "type":"text/html", "rel":"about", "title":"GitHub repo", "href":"https://github.com/eebruun/aquainfra_corine", "hreflang":"en-US" }, { "type":"application/json", "rel":"self", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/syke-corine-stats-real-areas?f=json", "title":"Process description as JSON", "hreflang":"en-US" }, { "type":"text/html", "rel":"alternate", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/syke-corine-stats-real-areas?f=html", "title":"Process description as HTML", "hreflang":"en-US" }, { "type":"text/html", "rel":"http://www.opengis.net/def/rel/ogc/1.0/job-list", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/jobs?f=html", "title":"Jobs list as HTML", "hreflang":"en-US" }, { "type":"application/json", "rel":"http://www.opengis.net/def/rel/ogc/1.0/job-list", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/jobs?f=json", "title":"Jobs list as JSON", "hreflang":"en-US" }, { "type":"application/json", "rel":"http://www.opengis.net/def/rel/ogc/1.0/execute", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/syke-corine-stats-real-areas/execution?f=json", "title":"Execution for this process as JSON", "hreflang":"en-US" } ], "outputTransmission":[ "value" ] }, { "version":"0.1.0", "use_case":"Catalunya", "id":"mitgcm-resultplot", "title":"MITgcm Plotting Tool", "description":"Plot the results of the MITgcm runs. The plots are lat lon maps of the selected variable for the selected time and depth. This tool will only work with NetCDF files that were configured in a specific way (variables, ...), for example, with the output files of the AquaINFRA MITgcm tool..", "jobControlOptions":[ "sync-execute", "async-execute" ], "keywords":[ "AquaINFRA", "catalunya use case", "MITgcm" ], "links":[ { "type":"text/html", "rel":"about", "title":"Website of MITgcm", "href":"https://mitgcm.org/", "hreflang":"en-US" }, { "type":"text/html", "rel":"about", "title":"GitHub repo of MITgcm", "href":"https://github.com/MITgcm/MITgcm", "hreflang":"en-US" }, { "type":"text/html", "rel":"about", "title":"AquaINFRA-specific post-processing and visualisation (GitHub repo)", "href":"https://github.com/SavitriGaliana/MITgcm_CATSEA_chain", "hreflang":"en-US" }, { "type":"application/json", "rel":"self", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/mitgcm-resultplot?f=json", "title":"Process description as JSON", "hreflang":"en-US" }, { "type":"text/html", "rel":"alternate", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/mitgcm-resultplot?f=html", "title":"Process description as HTML", "hreflang":"en-US" }, { "type":"text/html", "rel":"http://www.opengis.net/def/rel/ogc/1.0/job-list", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/jobs?f=html", "title":"Jobs list as HTML", "hreflang":"en-US" }, { "type":"application/json", "rel":"http://www.opengis.net/def/rel/ogc/1.0/job-list", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/jobs?f=json", "title":"Jobs list as JSON", "hreflang":"en-US" }, { "type":"application/json", "rel":"http://www.opengis.net/def/rel/ogc/1.0/execute", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/mitgcm-resultplot/execution?f=json", "title":"Execution for this process as JSON", "hreflang":"en-US" } ], "outputTransmission":[ "value" ] }, { "version":"0.1.0", "id":"mitgcm-prep", "use_case":"Catalunya", "title":"MITgcm Preprocessing", "description":"Preprocessing phase of the AquaINFRA marine modeling chain. Initial conditions, boundary conditions and atmospheric forcing files are generated from Copernicus data to be used as input to the MITgcm model in the Model Run phase.", "jobControlOptions":[ "sync-execute", "async-execute" ], "keywords":[ "AquaINFRA", "Marine Modeling System", "MITgcm", "Catalunya Use Case" ], "links":[ { "type":"text/html", "rel":"about", "title":"Website of MITgcm", "href":"https://mitgcm.org/", "hreflang":"en-US" }, { "type":"text/html", "rel":"about", "title":"GitHub repo of MITgcm", "href":"https://github.com/MITgcm/MITgcm", "hreflang":"en-US" }, { "type":"application/json", "rel":"self", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/mitgcm-prep?f=json", "title":"Process description as JSON", "hreflang":"en-US" }, { "type":"text/html", "rel":"alternate", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/mitgcm-prep?f=html", "title":"Process description as HTML", "hreflang":"en-US" }, { "type":"text/html", "rel":"http://www.opengis.net/def/rel/ogc/1.0/job-list", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/jobs?f=html", "title":"Jobs list as HTML", "hreflang":"en-US" }, { "type":"application/json", "rel":"http://www.opengis.net/def/rel/ogc/1.0/job-list", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/jobs?f=json", "title":"Jobs list as JSON", "hreflang":"en-US" }, { "type":"application/json", "rel":"http://www.opengis.net/def/rel/ogc/1.0/execute", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/mitgcm-prep/execution?f=json", "title":"Execution for this process as JSON", "hreflang":"en-US" } ], "outputTransmission":[ "value" ] }, { "version":"0.1.0", "id":"mitgcm-run-model", "use_case":"Catalunya", "title":"MITgcm Model Run", "description":"Model Run phase of the AquaINFRA marine modeling chain. A simulation for the Catalan marine model is run, using the MITgcm modeling code, for the selected time period. Inputs are initial and boundary conditions files and atmospheric forcing files (output from the Preprocessing phase), bathymetry and configured namelists. Outputs are 3D timeseries of sea temperature, salinity, currents and sea surface height.", "jobControlOptions":[ "sync-execute", "async-execute" ], "keywords":[ "AquaINFRA", "catalunya use case", "MITgcm" ], "links":[ { "type":"text/html", "rel":"about", "title":"Website of MITgcm", "href":"https://mitgcm.org/", "hreflang":"en-US" }, { "type":"text/html", "rel":"about", "title":"GitHub repo of MITgcm", "href":"https://github.com/MITgcm/MITgcm", "hreflang":"en-US" }, { "type":"application/json", "rel":"self", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/mitgcm-run-model?f=json", "title":"Process description as JSON", "hreflang":"en-US" }, { "type":"text/html", "rel":"alternate", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/mitgcm-run-model?f=html", "title":"Process description as HTML", "hreflang":"en-US" }, { "type":"text/html", "rel":"http://www.opengis.net/def/rel/ogc/1.0/job-list", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/jobs?f=html", "title":"Jobs list as HTML", "hreflang":"en-US" }, { "type":"application/json", "rel":"http://www.opengis.net/def/rel/ogc/1.0/job-list", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/jobs?f=json", "title":"Jobs list as JSON", "hreflang":"en-US" }, { "type":"application/json", "rel":"http://www.opengis.net/def/rel/ogc/1.0/execute", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/mitgcm-run-model/execution?f=json", "title":"Execution for this process as JSON", "hreflang":"en-US" } ], "outputTransmission":[ "value" ] }, { "version":"0.1.0", "id":"malta-groundwater", "use_case":"Malta", "title":"Malta Groundwater Model (SEAWAT)", "description":"This process runs a 3D variable-density groundwater flow and transport model (SEAWAT) for the Malta aquifer system. It is configured to simulate the effects of sea-level changes and groundwater recharge on aquifer salinity over a 30-year period. Users can provide custom sea-level projections and recharge rates to test different scenarios.", "jobControlOptions":[ "sync-execute", "async-execute" ], "keywords":[ "SEAWAT", "Malta", "Groundwater", "Salinity", "Variable-Density Flow", "AquaINFRA" ], "links":[ { "type":"text/html", "rel":"about", "title":"Website of SEAWAT", "href":"https://www.usgs.gov/software/seawat-a-computer-program-simulation-three-dimensional-variable-density-ground-water-flow", "hreflang":"en-US" }, { "type":"text/html", "rel":"about", "title":"Groundwater GitHub Repository", "href":"https://github.com/sarahfiala/seawat-malta-docker", "hreflang":"en-US" }, { "type":"application/json", "rel":"self", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/malta-groundwater?f=json", "title":"Process description as JSON", "hreflang":"en-US" }, { "type":"text/html", "rel":"alternate", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/malta-groundwater?f=html", "title":"Process description as HTML", "hreflang":"en-US" }, { "type":"text/html", "rel":"http://www.opengis.net/def/rel/ogc/1.0/job-list", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/jobs?f=html", "title":"Jobs list as HTML", "hreflang":"en-US" }, { "type":"application/json", "rel":"http://www.opengis.net/def/rel/ogc/1.0/job-list", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/jobs?f=json", "title":"Jobs list as JSON", "hreflang":"en-US" }, { "type":"application/json", "rel":"http://www.opengis.net/def/rel/ogc/1.0/execute", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/malta-groundwater/execution?f=json", "title":"Execution for this process as JSON", "hreflang":"en-US" } ], "outputTransmission":[ "value" ] }, { "version":"0.0.1", "id":"heat1", "use_case":"HELCOM HEAT HOLAS", "title":"Reproducing HEAT HOLAS results: Generate the Assessment Units", "description":"Generate the gridded assessment units to be used for reproducing the HOLAS assessment using HELCOM's HEAT assessment tool, covering the Baltic Sea, for a selected HOLAS assessment period. The area is gridded, the grid cells have different sizes. For every period, spatial units and configuration (e.g. grid size) are predefined, so this tool just recreates the units used by HOLAS for the various periods. This tool represents the first part of the original HEAT assessment computation script.", "jobControlOptions":[ "sync-execute", "async-execute" ], "keywords":[ "HELCOM", "HEAT", "HOLAS" ], "links":[ { "type":"text/html", "rel":"about", "title":"GitHub repo for the original HEAT analysis", "href":"https://github.com/ices-tools-prod/HEAT/tree/master", "hreflang":"en-US" }, { "type":"text/html", "rel":"about", "title":"GitHub repo for the continued HEAT analysis", "href":"https://github.com/AquaINFRA/HEAT/tree/aquabranch", "hreflang":"en-US" }, { "type":"application/json", "rel":"self", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/heat1?f=json", "title":"Process description as JSON", "hreflang":"en-US" }, { "type":"text/html", "rel":"alternate", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/heat1?f=html", "title":"Process description as HTML", "hreflang":"en-US" }, { "type":"text/html", "rel":"http://www.opengis.net/def/rel/ogc/1.0/job-list", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/jobs?f=html", "title":"Jobs list as HTML", "hreflang":"en-US" }, { "type":"application/json", "rel":"http://www.opengis.net/def/rel/ogc/1.0/job-list", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/jobs?f=json", "title":"Jobs list as JSON", "hreflang":"en-US" }, { "type":"application/json", "rel":"http://www.opengis.net/def/rel/ogc/1.0/execute", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/heat1/execution?f=json", "title":"Execution for this process as JSON", "hreflang":"en-US" } ], "outputTransmission":[ "value" ] }, { "version":"0.0.1", "id":"heat2", "use_case":"HELCOM HEAT HOLAS", "title":"Reproducing HEAT HOLAS results: Combine the samples", "description":"Combine the various types of samples to be used for reproducing the HOLAS assessment using HELCOM's HEAT assessment tool, for a selected HOLAS assessment period. For every assessment period, the configation and the spatial grid are predefined. Default data is included for all three sample types (bottle, pump/ferrybox, CTD). You can specify whether to use the default data or leave it out. You can also provide custom bottle samples, which will then be used instead of the default bottle data. Currently, usage of custom pump/ferrybox and CTD data are not envisaged, but can be enabled, if required. Please make sure the data you provide matches the selected assessment period. This tool represents the second part of the original HEAT assessment computation script.", "jobControlOptions":[ "sync-execute", "async-execute" ], "keywords":[ "HELCOM", "HEAT", "HOLAS" ], "links":[ { "type":"text/html", "rel":"about", "title":"GitHub repo for the original HEAT analysis", "href":"https://github.com/ices-tools-prod/HEAT/tree/master", "hreflang":"en-US" }, { "type":"text/html", "rel":"about", "title":"GitHub repo for the continued HEAT analysis", "href":"https://github.com/AquaINFRA/HEAT/tree/aquabranch", "hreflang":"en-US" }, { "type":"application/json", "rel":"self", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/heat2?f=json", "title":"Process description as JSON", "hreflang":"en-US" }, { "type":"text/html", "rel":"alternate", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/heat2?f=html", "title":"Process description as HTML", "hreflang":"en-US" }, { "type":"text/html", "rel":"http://www.opengis.net/def/rel/ogc/1.0/job-list", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/jobs?f=html", "title":"Jobs list as HTML", "hreflang":"en-US" }, { "type":"application/json", "rel":"http://www.opengis.net/def/rel/ogc/1.0/job-list", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/jobs?f=json", "title":"Jobs list as JSON", "hreflang":"en-US" }, { "type":"application/json", "rel":"http://www.opengis.net/def/rel/ogc/1.0/execute", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/heat2/execution?f=json", "title":"Execution for this process as JSON", "hreflang":"en-US" } ], "outputTransmission":[ "value" ] }, { "version":"0.0.1", "id":"heat3", "use_case":"HELCOM HEAT HOLAS", "title":"Reproducing HEAT HOLAS results: Compute Annual Indicators", "description":"Compute the Annual Indicators (i.e. the calculated HEAT EQRS per indicator per year per assessment unit) using HELCOM's HEAT assessment code, for a selected HOLAS assessment period. For every assessment period, the configation and the spatial grid are predefined but you can specify how Chlorophyll-A is handled. Please provide a file containing combined and filtered samples (CTD, bottle and pump/ferrybox combined in one file) and please make sure the data you provide matches the selected period (assessment period). This tool represents the third part of the original HEAT assessment computation script.", "jobControlOptions":[ "sync-execute", "async-execute" ], "keywords":[ "HELCOM", "HEAT", "HOLAS" ], "links":[ { "type":"text/html", "rel":"about", "title":"GitHub repo for the original HEAT analysis", "href":"https://github.com/ices-tools-prod/HEAT/tree/master", "hreflang":"en-US" }, { "type":"text/html", "rel":"about", "title":"GitHub repo for the continued HEAT analysis", "href":"https://github.com/AquaINFRA/HEAT/tree/aquabranch", "hreflang":"en-US" }, { "type":"application/json", "rel":"self", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/heat3?f=json", "title":"Process description as JSON", "hreflang":"en-US" }, { "type":"text/html", "rel":"alternate", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/heat3?f=html", "title":"Process description as HTML", "hreflang":"en-US" }, { "type":"text/html", "rel":"http://www.opengis.net/def/rel/ogc/1.0/job-list", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/jobs?f=html", "title":"Jobs list as HTML", "hreflang":"en-US" }, { "type":"application/json", "rel":"http://www.opengis.net/def/rel/ogc/1.0/job-list", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/jobs?f=json", "title":"Jobs list as JSON", "hreflang":"en-US" }, { "type":"application/json", "rel":"http://www.opengis.net/def/rel/ogc/1.0/execute", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/heat3/execution?f=json", "title":"Execution for this process as JSON", "hreflang":"en-US" } ], "outputTransmission":[ "value" ] }, { "version":"0.0.1", "id":"heat4", "use_case":"HELCOM HEAT HOLAS", "title":"Reproducing HEAT HOLAS results: Compute Assessment Indicators", "description":"Compute the Assessment Indicators (i.e. EQRS per assessment period per assessment unit) using HELCOM's HEAT assessment code, for a selected HOLAS assessment period. The calculation is based on the Annual Indicators (i.e. the calculated HEAT EQRS per indicator per year per assessment unit) which you have to provide as a CSV file. This tool represents the fourth part of the original HEAT assessment computation script.", "jobControlOptions":[ "sync-execute", "async-execute" ], "keywords":[ "HELCOM", "HEAT", "HOLAS" ], "links":[ { "type":"text/html", "rel":"about", "title":"GitHub repo for the original HEAT analysis", "href":"https://github.com/ices-tools-prod/HEAT/tree/master", "hreflang":"en-US" }, { "type":"text/html", "rel":"about", "title":"GitHub repo for the continued HEAT analysis", "href":"https://github.com/AquaINFRA/HEAT/tree/aquabranch", "hreflang":"en-US" }, { "type":"application/json", "rel":"self", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/heat4?f=json", "title":"Process description as JSON", "hreflang":"en-US" }, { "type":"text/html", "rel":"alternate", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/heat4?f=html", "title":"Process description as HTML", "hreflang":"en-US" }, { "type":"text/html", "rel":"http://www.opengis.net/def/rel/ogc/1.0/job-list", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/jobs?f=html", "title":"Jobs list as HTML", "hreflang":"en-US" }, { "type":"application/json", "rel":"http://www.opengis.net/def/rel/ogc/1.0/job-list", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/jobs?f=json", "title":"Jobs list as JSON", "hreflang":"en-US" }, { "type":"application/json", "rel":"http://www.opengis.net/def/rel/ogc/1.0/execute", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/heat4/execution?f=json", "title":"Execution for this process as JSON", "hreflang":"en-US" } ], "outputTransmission":[ "value" ] }, { "version":"0.0.1", "id":"heat5", "use_case":"HELCOM HEAT HOLAS", "title":"Reproducing HEAT HOLAS results: Compute Assessment", "description":"Compute the Assessment (i.e. EQRS per assessment unit, grouped by overall and criterial level indicators) using HELCOM's HEAT assessment code, for a selected HOLAS assessment period. The calculation is based on the Assessment Indicators (i.e. EQRS per assessment period per assessment unit) which you have to provide as a CSV file. This tool represents the fifth and last part of the original HEAT assessment computation script.", "jobControlOptions":[ "sync-execute", "async-execute" ], "keywords":[ "HELCOM", "HEAT", "HOLAS" ], "links":[ { "type":"text/html", "rel":"about", "title":"GitHub repo for the original HEAT analysis", "href":"https://github.com/ices-tools-prod/HEAT/tree/master", "hreflang":"en-US" }, { "type":"text/html", "rel":"about", "title":"GitHub repo for the continued HEAT analysis", "href":"https://github.com/AquaINFRA/HEAT/tree/aquabranch", "hreflang":"en-US" }, { "type":"application/json", "rel":"self", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/heat5?f=json", "title":"Process description as JSON", "hreflang":"en-US" }, { "type":"text/html", "rel":"alternate", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/heat5?f=html", "title":"Process description as HTML", "hreflang":"en-US" }, { "type":"text/html", "rel":"http://www.opengis.net/def/rel/ogc/1.0/job-list", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/jobs?f=html", "title":"Jobs list as HTML", "hreflang":"en-US" }, { "type":"application/json", "rel":"http://www.opengis.net/def/rel/ogc/1.0/job-list", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/jobs?f=json", "title":"Jobs list as JSON", "hreflang":"en-US" }, { "type":"application/json", "rel":"http://www.opengis.net/def/rel/ogc/1.0/execute", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/heat5/execution?f=json", "title":"Execution for this process as JSON", "hreflang":"en-US" } ], "outputTransmission":[ "value" ] }, { "version":"0.0.1", "id":"heat1advanced", "use_case":"HELCOM HEAT", "title":"Assessing Eutrophication: Generate the Assessment Units", "description":"Generate the gridded assessment units to be used for the eutrophication assessment using HELCOM's HEAT assessment tool. The area is gridded, the grid cells have different sizes. The spatial units and configuration (e.g. grid size) have to be provided. This tool extends the first part of the original HEAT assessment computation script.", "jobControlOptions":[ "sync-execute", "async-execute" ], "keywords":[ "HELCOM", "HEAT" ], "links":[ { "type":"text/html", "rel":"about", "title":"GitHub repo for the original HEAT analysis", "href":"https://github.com/ices-tools-prod/HEAT/tree/master", "hreflang":"en-US" }, { "type":"text/html", "rel":"about", "title":"GitHub repo for the continued HEAT analysis", "href":"https://github.com/AquaINFRA/HEAT/tree/aquabranch", "hreflang":"en-US" }, { "type":"application/json", "rel":"self", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/heat1advanced?f=json", "title":"Process description as JSON", "hreflang":"en-US" }, { "type":"text/html", "rel":"alternate", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/heat1advanced?f=html", "title":"Process description as HTML", "hreflang":"en-US" }, { "type":"text/html", "rel":"http://www.opengis.net/def/rel/ogc/1.0/job-list", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/jobs?f=html", "title":"Jobs list as HTML", "hreflang":"en-US" }, { "type":"application/json", "rel":"http://www.opengis.net/def/rel/ogc/1.0/job-list", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/jobs?f=json", "title":"Jobs list as JSON", "hreflang":"en-US" }, { "type":"application/json", "rel":"http://www.opengis.net/def/rel/ogc/1.0/execute", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/heat1advanced/execution?f=json", "title":"Execution for this process as JSON", "hreflang":"en-US" } ], "outputTransmission":[ "value" ] }, { "version":"0.0.1", "id":"heat2advanced", "use_case":"HELCOM HEAT", "title":"Assessing Eutrophication: Combine the samples", "description":"Combine the various types of samples to be used for the eutrophication assessment using HELCOM's HEAT assessment tool. Please provide input data for at least one of the three sample types (bottle, pump/ferrybox, CTD). Of course you can also provide all three types. This tool extends the second part of the original HEAT assessment computation script.", "jobControlOptions":[ "sync-execute", "async-execute" ], "keywords":[ "HELCOM", "HEAT" ], "links":[ { "type":"text/html", "rel":"about", "title":"GitHub repo for the original HEAT analysis", "href":"https://github.com/ices-tools-prod/HEAT/tree/master", "hreflang":"en-US" }, { "type":"text/html", "rel":"about", "title":"GitHub repo for the continued HEAT analysis", "href":"https://github.com/AquaINFRA/HEAT/tree/aquabranch", "hreflang":"en-US" }, { "type":"application/json", "rel":"self", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/heat2advanced?f=json", "title":"Process description as JSON", "hreflang":"en-US" }, { "type":"text/html", "rel":"alternate", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/heat2advanced?f=html", "title":"Process description as HTML", "hreflang":"en-US" }, { "type":"text/html", "rel":"http://www.opengis.net/def/rel/ogc/1.0/job-list", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/jobs?f=html", "title":"Jobs list as HTML", "hreflang":"en-US" }, { "type":"application/json", "rel":"http://www.opengis.net/def/rel/ogc/1.0/job-list", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/jobs?f=json", "title":"Jobs list as JSON", "hreflang":"en-US" }, { "type":"application/json", "rel":"http://www.opengis.net/def/rel/ogc/1.0/execute", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/heat2advanced/execution?f=json", "title":"Execution for this process as JSON", "hreflang":"en-US" } ], "outputTransmission":[ "value" ] }, { "version":"0.0.1", "id":"heat3advanced", "use_case":"HELCOM HEAT", "title":"Assessing Eutrophication: Compute Annual Indicators", "description":"Compute the Annual Indicators (i.e. the calculated HEAT EQRS per indicator per year per assessment unit), as part the eutrophication assessment using HELCOM's HEAT assessment tool. As input, please provide a file containing combined and filtered station samples (CTD, bottle and pump/ferrybox combined in one file). Besides your custom station samples, you may define your own custom configuration files to set your own indicator thresholds etc. In addition, please specify how Chlorophyll-A should be handled. This tool extends the third part of the original HEAT assessment computation script.", "jobControlOptions":[ "sync-execute", "async-execute" ], "keywords":[ "HELCOM", "HEAT" ], "links":[ { "type":"text/html", "rel":"about", "title":"GitHub repo for the original HEAT analysis", "href":"https://github.com/ices-tools-prod/HEAT/tree/master", "hreflang":"en-US" }, { "type":"text/html", "rel":"about", "title":"GitHub repo for the continued HEAT analysis", "href":"https://github.com/AquaINFRA/HEAT/tree/aquabranch", "hreflang":"en-US" }, { "type":"application/json", "rel":"self", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/heat3advanced?f=json", "title":"Process description as JSON", "hreflang":"en-US" }, { "type":"text/html", "rel":"alternate", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/heat3advanced?f=html", "title":"Process description as HTML", "hreflang":"en-US" }, { "type":"text/html", "rel":"http://www.opengis.net/def/rel/ogc/1.0/job-list", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/jobs?f=html", "title":"Jobs list as HTML", "hreflang":"en-US" }, { "type":"application/json", "rel":"http://www.opengis.net/def/rel/ogc/1.0/job-list", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/jobs?f=json", "title":"Jobs list as JSON", "hreflang":"en-US" }, { "type":"application/json", "rel":"http://www.opengis.net/def/rel/ogc/1.0/execute", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/heat3advanced/execution?f=json", "title":"Execution for this process as JSON", "hreflang":"en-US" } ], "outputTransmission":[ "value" ] }, { "version":"0.0.1", "id":"heat4advanced", "use_case":"HELCOM HEAT", "title":"Assessing Eutrophication: Compute Assessment Indicators", "description":"Compute the Assessment Indicators (i.e. EQRS per assessment period per assessment unit), as part the eutrophication assessment using HELCOM's HEAT assessment tool. The calculation is based on the Annual Indicators (i.e. the calculated HEAT EQRS per indicator per year per assessment unit) which you have to provide as a CSV file. In addition to that ,you may define your own custom configuration files to set your own indicator thresholds etc. This tool represents the fourth part of the original HEAT assessment computation script.", "jobControlOptions":[ "sync-execute", "async-execute" ], "keywords":[ "HELCOM", "HEAT" ], "links":[ { "type":"text/html", "rel":"about", "title":"GitHub repo for the original HEAT analysis", "href":"https://github.com/ices-tools-prod/HEAT/tree/master", "hreflang":"en-US" }, { "type":"text/html", "rel":"about", "title":"GitHub repo for the continued HEAT analysis", "href":"https://github.com/AquaINFRA/HEAT/tree/aquabranch", "hreflang":"en-US" }, { "type":"application/json", "rel":"self", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/heat4advanced?f=json", "title":"Process description as JSON", "hreflang":"en-US" }, { "type":"text/html", "rel":"alternate", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/heat4advanced?f=html", "title":"Process description as HTML", "hreflang":"en-US" }, { "type":"text/html", "rel":"http://www.opengis.net/def/rel/ogc/1.0/job-list", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/jobs?f=html", "title":"Jobs list as HTML", "hreflang":"en-US" }, { "type":"application/json", "rel":"http://www.opengis.net/def/rel/ogc/1.0/job-list", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/jobs?f=json", "title":"Jobs list as JSON", "hreflang":"en-US" }, { "type":"application/json", "rel":"http://www.opengis.net/def/rel/ogc/1.0/execute", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/heat4advanced/execution?f=json", "title":"Execution for this process as JSON", "hreflang":"en-US" } ], "outputTransmission":[ "value" ] }, { "version":"0.0.1", "id":"heat5advanced", "use_case":"HELCOM HEAT", "title":"Assessing Eutrophication: Compute Assessment", "description":"Compute the Assessment (i.e. EQRS per assessment unit, grouped by overall and criterial level indicators), as part the eutrophication assessment using HELCOM's HEAT assessment tool. The calculation is based on the Assessment Indicators (i.e. EQRS per assessment period per assessment unit) which you have to provide as a CSV file. In addition to that ,you may define your own custom configuration files to set your own indicator thresholds etc. This tool represents the fifth and last part of the original HEAT assessment computation script.", "jobControlOptions":[ "sync-execute", "async-execute" ], "keywords":[ "HELCOM", "HEAT" ], "links":[ { "type":"text/html", "rel":"about", "title":"GitHub repo for the original HEAT analysis", "href":"https://github.com/ices-tools-prod/HEAT/tree/master", "hreflang":"en-US" }, { "type":"text/html", "rel":"about", "title":"GitHub repo for the continued HEAT analysis", "href":"https://github.com/AquaINFRA/HEAT/tree/aquabranch", "hreflang":"en-US" }, { "type":"application/json", "rel":"self", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/heat5advanced?f=json", "title":"Process description as JSON", "hreflang":"en-US" }, { "type":"text/html", "rel":"alternate", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/heat5advanced?f=html", "title":"Process description as HTML", "hreflang":"en-US" }, { "type":"text/html", "rel":"http://www.opengis.net/def/rel/ogc/1.0/job-list", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/jobs?f=html", "title":"Jobs list as HTML", "hreflang":"en-US" }, { "type":"application/json", "rel":"http://www.opengis.net/def/rel/ogc/1.0/job-list", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/jobs?f=json", "title":"Jobs list as JSON", "hreflang":"en-US" }, { "type":"application/json", "rel":"http://www.opengis.net/def/rel/ogc/1.0/execute", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/heat5advanced/execution?f=json", "title":"Execution for this process as JSON", "hreflang":"en-US" } ], "outputTransmission":[ "value" ] }, { "version":"0.1.0", "id":"combine-eurostat-data", "use_case":"Elbe", "title":"Attach human population statistics to EU NUTS3 regions.", "description":"Attach EU human population statistics for chosen year to EU NUTS3 regions using temporally matching NUTS3 version.", "jobControlOptions":[ "sync-execute", "async-execute" ], "keywords":[ "elbe use case", "AquaINFRA", "eurostat", "human population" ], "links":[ { "type":"text/html", "rel":"about", "title":"information", "href":"https://example.org/process", "hreflang":"en-US" }, { "type":"application/json", "rel":"self", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/combine-eurostat-data?f=json", "title":"Process description as JSON", "hreflang":"en-US" }, { "type":"text/html", "rel":"alternate", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/combine-eurostat-data?f=html", "title":"Process description as HTML", "hreflang":"en-US" }, { "type":"text/html", "rel":"http://www.opengis.net/def/rel/ogc/1.0/job-list", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/jobs?f=html", "title":"Jobs list as HTML", "hreflang":"en-US" }, { "type":"application/json", "rel":"http://www.opengis.net/def/rel/ogc/1.0/job-list", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/jobs?f=json", "title":"Jobs list as JSON", "hreflang":"en-US" }, { "type":"application/json", "rel":"http://www.opengis.net/def/rel/ogc/1.0/execute", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/combine-eurostat-data/execution?f=json", "title":"Execution for this process as JSON", "hreflang":"en-US" } ], "outputTransmission":[ "value" ] }, { "version":"0.1.0", "id":"weighting-functions", "use_case":"Elbe", "title":"Calculating human population density-derived weights for CORINE CLC classes.", "description":"Mapping CORINE CLC raster to Eurostat 2021 Census Grid to calculate human population density-derived weights for significant urban CLC classes.", "jobControlOptions":[ "sync-execute", "async-execute" ], "keywords":[ "elbe use case", "AquaINFRA", "keyword 3", "keyword 4" ], "links":[ { "type":"text/html", "rel":"about", "title":"information", "href":"https://example.org/process", "hreflang":"en-US" }, { "type":"application/json", "rel":"self", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/weighting-functions?f=json", "title":"Process description as JSON", "hreflang":"en-US" }, { "type":"text/html", "rel":"alternate", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/weighting-functions?f=html", "title":"Process description as HTML", "hreflang":"en-US" }, { "type":"text/html", "rel":"http://www.opengis.net/def/rel/ogc/1.0/job-list", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/jobs?f=html", "title":"Jobs list as HTML", "hreflang":"en-US" }, { "type":"application/json", "rel":"http://www.opengis.net/def/rel/ogc/1.0/job-list", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/jobs?f=json", "title":"Jobs list as JSON", "hreflang":"en-US" }, { "type":"application/json", "rel":"http://www.opengis.net/def/rel/ogc/1.0/execute", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/weighting-functions/execution?f=json", "title":"Execution for 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"type":"text/html", "rel":"http://www.opengis.net/def/rel/ogc/1.0/job-list", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/jobs?f=html", "title":"Jobs list as HTML", "hreflang":"en-US" }, { "type":"application/json", "rel":"http://www.opengis.net/def/rel/ogc/1.0/job-list", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/jobs?f=json", "title":"Jobs list as JSON", "hreflang":"en-US" }, { "type":"application/json", "rel":"http://www.opengis.net/def/rel/ogc/1.0/execute", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/clean-catchment-geometry/execution?f=json", "title":"Execution for this process as JSON", "hreflang":"en-US" } ], "outputTransmission":[ "value" ] }, { "version":"0.1.0", "id":"filter-clip-clean-extent", "use_case":"Elbe", "title":"Align extents of three datasets (D1=NUTS3 regions; D2=LAU regions; D3=river catchments) including validation steps.", "description":"Clip three overlapping datasets (D1=NUTS3 regions; D2=LAU regions; D3=river catchments) 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"rel":"http://www.opengis.net/def/rel/ogc/1.0/job-list", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/jobs?f=json", "title":"Jobs list as JSON", "hreflang":"en-US" }, { "type":"application/json", "rel":"http://www.opengis.net/def/rel/ogc/1.0/execute", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/filter-clip-clean-extent/execution?f=json", "title":"Execution for this process as JSON", "hreflang":"en-US" } ], "outputTransmission":[ "value" ] }, { "version":"0.1.0", "id":"process-create-visualizations", "use_case":"Elbe", "title":"Visualising final outputs of dasymetric refinement process.", "description":"Visualising final urban significant CLC-class specific dasymetric refinement input weights in table (output 1), error map of dasymetric refinement process at LAU (Local Areal Unit) level (output 2), and estimated human population density for target zones (output 3).", "jobControlOptions":[ "sync-execute", "async-execute" ], "keywords":[ "elbe use case", "AquaINFRA", "keyword 3", "keyword 4" ], "links":[ { "type":"text/html", "rel":"about", "title":"information", "href":"https://example.org/process", "hreflang":"en-US" }, { "type":"application/json", "rel":"self", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/process-create-visualizations?f=json", "title":"Process description as JSON", "hreflang":"en-US" }, { "type":"text/html", "rel":"alternate", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/process-create-visualizations?f=html", "title":"Process description as HTML", "hreflang":"en-US" }, { "type":"text/html", "rel":"http://www.opengis.net/def/rel/ogc/1.0/job-list", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/jobs?f=html", "title":"Jobs list as HTML", "hreflang":"en-US" }, { "type":"application/json", "rel":"http://www.opengis.net/def/rel/ogc/1.0/job-list", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/jobs?f=json", "title":"Jobs list as JSON", "hreflang":"en-US" }, { "type":"application/json", "rel":"http://www.opengis.net/def/rel/ogc/1.0/execute", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/process-create-visualizations/execution?f=json", "title":"Execution for this process as JSON", "hreflang":"en-US" } ], "outputTransmission":[ "value" ] }, { "version":"0.1.0", "id":"process-dasymetric-refinement", "use_case":"Elbe", "title":"Dasymetric refinement of human population from NUTS3 regions to significant urban CORINE CLC polygons.", "description":"Dasymetric refinement of human population from NUTS3 regions to significant urban CORINE CLC polygons using CLC-class-specific input weights.", "jobControlOptions":[ "sync-execute", "async-execute" ], "keywords":[ "elbe use case", "AquaINFRA", "keyword 3", "keyword 4" ], "links":[ { "type":"text/html", "rel":"about", "title":"information", "href":"https://example.org/process", "hreflang":"en-US" }, { "type":"application/json", "rel":"self", 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"href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/process-interpolate-lau?f=html", "title":"Process description as HTML", "hreflang":"en-US" }, { "type":"text/html", "rel":"http://www.opengis.net/def/rel/ogc/1.0/job-list", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/jobs?f=html", "title":"Jobs list as HTML", "hreflang":"en-US" }, { "type":"application/json", "rel":"http://www.opengis.net/def/rel/ogc/1.0/job-list", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/jobs?f=json", "title":"Jobs list as JSON", "hreflang":"en-US" }, { "type":"application/json", "rel":"http://www.opengis.net/def/rel/ogc/1.0/execute", "href":"https://aquainfra.ogc.igb-berlin.de/pygeoapi/processes/process-interpolate-lau/execution?f=json", "title":"Execution for this process as JSON", "hreflang":"en-US" } ], "outputTransmission":[ "value" ] }, { "version":"0.1.0", "id":"process-interpolate-subbasins", "use_case":"Elbe", "title":"Area-weighted interpolation of ancillary data to calculate 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