Published March 1, 2023 | Version v1
Software Open

Matlab and Arcpy Codes for "Model Ensembles of Ecosystem Services Fill Global Certainty and Capacity Gaps"

  • 1. Lactuca: Environmental Data Analyses and Modelling, the Netherlands
  • 2. UK Centre for Ecology & Hydrology, United Kingdom
  • 3. School of Natural Sciences, Bangor University, Bangor
  • 1. Department of Natural Resources & Environment, Cornell University, USA
  • 2. Global Science, Word Wildlife Fund, USA
  • 3. European Commission, Joint Research Centre
  • 4. Senckenberg Biodiversity and Climate Research Centre,, Germany
  • 5. International Institute for Applied Systems Analysis, Austria
  • 6. School of Natural Sciences, Bangor, UK
  • 7. Department of Physical Geography and Ecosystem Science, Lund University, Sweden
  • 8. Department of Ecology, University of Granada, Spain

Description

Repository of codes and example maps published belonging to Willcock et al. (2023) Model Ensembles of Ecosystem Services Fill Global Certainty and Capacity Gaps. Science Advances, in press.

This is a journal required copy from GitHub account https://github.com/GlobalEnsembles

This upload contains the following elements:

  1. Uploaded 1200 dpi Tif-files of Global median maps for five ES, without country borders. Note! For 1200 dpi: 1 pixel approximates 12 gridcells on the actual map (≈ 12km2). Actual maps can be downloaded from: https://catalogue.ceh.ac.uk/documents/bd940dad-9bf4-40d9-891b-161f3dfe8e86
  2. Winsorisation protocol. Via Matlab (WinsorFunction.m) and with export of the threshold values to Arc software to be applied to layers (Winsorisation.ipynb), which mirrors the Matlab code. The array generator from ascii files is added for completeness (LoadingFunctionWinsor.m)
  3. Matlab Codes for creating the ensemble weights for gridded data & per catchment ensembles for accumulated water (Abbreviation: ES). Note: functions include daughter functions in the same file. Files are: Accuracy_statistics_World_ES.m; cut_top_off_ascii_ES.m DefintionSet_World_ES.m; Main_TheRuns_World_ES.m; Make_Ensembles_World_ES.m.
  4. Codes for Validation (Figure 3) and statistics (Table 1) and accompanying SIs (Abbreviation: VS) . Note: functions include daughter functions in the same file. Files are: CreateOutputsValidationExampleCarbon_VS.m;  MainbodyCodeValidationPublication_VS.m; CreateOutputsValidationExampleWater_VS.m.
  5. Example Python-arcpy looping codes as used as notebooks in ArcPro; Water codes are most complex and explicatory (Abbreviation: AP). Files are: ArcMapWeightedEns_VS.ipynb; CarbonCodes_VS.ipynb; GrazingCodes(idemFuelwood)_VS.ipynb; MainExample_WaterCodes_VS.ipynb; RecreationCodes_VS.ipynb; RetentionCodes_VS.ipynb.

Danny Hooftman

2023-03-01

Notes

This is a journal required copy from GitHub account https://github.com/GlobalEnsembles. This work took place under the following UKRI grants: NE/W005050/1, NE/T00391X/1, ES/R009279/1, ES/T007877/1, ES/V004077/1, ES/R006865/1, as well as UKCEH project 08695 and NSF GRFP Grant number DGE-2139899.

Files

ArcMapWeightedEns_VS.ipynb

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