Spatial visualisation of regions and data points
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').
daugava use case AquaINFRA map_shapefile_points R
| Id | Title | Data Type | Description |
|---|---|---|---|
| regions | Study region or study subregions | string | URL to the study region, or several regions, to classify the input data into groups of interest. Currently it has to be provided as a shapefile. It can be in any coordinate system and will be transformed to WGS84 during this process. |
| input_data | Data table to be plotted on top of study regions | string | URL to the input table containing the in-situ data points with coordinates. |
| colname_long | Column name for longitude | string | The name of the column containing longitude values for the data points. |
| colname_lat | Column name for latitude | string | The name of the column containing latitude values for the data points. |
| colname_value_name | Column name of data point identifier | string | The name of the column containing identifier (e.g., site name) or values (e.g., depth) to color the points according to their corresponding values. |
| colname_region_id | Column name of region identifier | string | The name of the column containing identifiers (e.g., basin name) to distinguish the polygons on the map if multiple regions are present. |
| Id | Title | Description |
|---|---|---|
| interactive_map | Interactive map | A visual representation of the study region overlaid with in-situ data points, plotted on OpenStreetMap. The image will include color-coded points and option to pop-up information about regions. |
Educational resources and documentation
Jobs
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- Process description as JSON (application/json)
- Process description as HTML (text/html)
- Jobs list as HTML (text/html)
- Jobs list as JSON (application/json)
- Execution for this process as JSON (application/json)
Execution modes
- Synchronous
- Asynchronous
