Create evaluation visualisations for dasymetric population mapping
Creates ten interactive HTML visualisations (histograms and maps) evaluating the dasymetric refinement results against observed census grid and LAU population data, including weight distribution, CORINE class coverage, observed/estimated population maps, absolute and percentage error maps, and accuracy metrics (R function set in 'create_visualisations.R')
human population use case AquaINFRA dasymetric mapping visualisation evaluation CORINE census grid LAU
| Id | Title | Data Type | Description |
|---|---|---|---|
| inputFile1_weightTable_rds | Weight table | object | Path to an .rds file containing the dasymetric weighting table (CORINE class code, label, percent weight). |
| inputFile2_clcLegend_rds | CORINE CLC legend table | object | Path to an .rds file containing the CORINE CLC legend table with class codes, labels, and RGB colors. |
| inputFile3_coryear2018_rds | CORINE reference year | object | Path to an .rds file containing the CORINE CLC reference year as a single value. Only year 2018 is currently supported by this function. |
| inputFile4_cellStatistics_rds | LAU cell statistics | object | Path to an .rds file containing per-LAU CORINE cell count statistics, used to plot the distribution of CORINE classes across LAU. |
| inputFile5_censusgrid_rds | Census grid | object | Path to an .rds file containing the Eurostat census grid (human population), used to derive population density class breaks. |
| inputFile6_evaluateWeighted_rds | Weighted refinement evaluation results | object | Path to an .rds file containing the census grid with weighted dasymetric refinement results joined (observed vs. estimated population, absolute and percentage differences). |
| inputFile7_catchment_gpkg | Catchment geometry | object | Path to a GeoPackage file containing the ECRINS catchment boundary, overlaid on all maps for context. |
| inputFile8_popFocusYear_rds | Population focus year | object | Path to an .rds file containing the focus year for population data as a single value. Allowed years are 2011 through 2024. |
| inputFile9_lauInCatchFocus_rds | LAU in catchment (focus year) | object | Path to an .rds file containing LAU polygons within the catchment, with observed population for the focus year. |
| inputFile10_lauInCatchReference_rds | LAU in catchment (reference year 2021) | object | Path to an .rds file containing LAU polygons within the catchment, with observed population for reference year 2021. |
| inputFile11_corineCLCvalid_rds | Valid CORINE CLC raster | object | Path to an .rds file containing the CORINE CLC raster (SpatRaster, packed via terra::wrap) restricted to valid classes used in the refinement. |
| inputFile12_corineCLConlyPositive_rds | CORINE CLC overlapping positive census grid | object | Path to an .rds file containing the CORINE CLC raster (SpatRaster, packed via terra::wrap) restricted to cells overlapping census grid cells with positive observed population. |
| inputFile13_refinement_rds | Estimated population raster (focus year) | object | Path to an .rds file containing the dasymetric refinement output raster (band named 'pop_est') with estimated population for the focus year. |
| thresholdval | Percentage error threshold | number | Threshold value (0-100) for percentage errors to be considered acceptable ('green') in the binary percentage error map. |
| thresholdvalfortruth | Observed population truth threshold | number | Threshold value (0-100) for the observed census grid population, above which a cell with 100% error is flagged as a special non-estimated case rather than plotted as a normal error. |
| inputFile14_metrics_rds | Accuracy metrics (weighted) | object | Path to an .rds file containing accuracy metrics for the weighted dasymetric refinement. |
| inputFile15_metricsSimple_rds | Accuracy metrics (simple/unweighted) | object | Path to an .rds file containing accuracy metrics for the simple (unweighted) refinement, for comparison. |
| Id | Title | Description |
|---|---|---|
| input_weights_histogram | Input weights histogram | Interactive stacked bar chart of the distribution of input weights across CORINE land cover classes. |
| cor_distribution_across_lau_histogram | CORINE class distribution across LAU histogram | Interactive histogram of the number of LAU containing each urban CORINE class. |
| census_grid_map | Census grid population map | Interactive map of observed census grid population for reference year 2021. |
| lau_in_catch_focus_map | LAU population map (focus year) | Interactive map of observed LAU population density within the catchment for the focus year. |
| lau_in_catch_reference_map | LAU population map (reference year 2021) | Interactive map of observed LAU population density within the catchment for reference year 2021. |
| corineCLC_valid_map | Valid CORINE CLC map | Interactive map of the CORINE CLC classes applied in the refinement. |
| corineCLCoverlappingPosCensusgrid_map | CORINE CLC overlapping populated census grid map | Interactive map of CORINE CLC cells overlapping census grid cells with positive observed population. |
| refinement_map | Estimated population map | Interactive map of estimated population at CORINE cell level for the focus year. |
| error_map | Absolute error map | Interactive map of absolute differences between estimated and observed population at the census grid level. |
| binaryPercError_map | Percentage error map (binary classes) | Interactive map distinguishing smaller vs. larger percentage errors between estimated and observed population, with special handling for false positives (estimated population where none was observed) and false negatives (observed population above the... |
| histogram_errorsDistributedOnDensClasses | Error distribution by density class histogram | Interactive histogram of average absolute error distributed across observed population density classes. |
| histogram_metrics | Accuracy metrics histograms | Combined HTML page embedding one interactive histogram per accuracy metric, comparing weighted vs. simple (unweighted) refinement. The number_of_wrong_cells_included (false positives) and number_of_correct_cells_excluded (false negatives) metrics are... |
Educational resources and documentation
Jobs
Browse jobsLinks
- information (text/html)
- 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