The B.C. Wildlife Federation’s Wetlands Workforce project is a collaboration with conservation organizations and First Nations working to maintain and monitor wetlands across British Columbia.
https://bcwf.bc.ca/initiatives/wetlands-workforce/.
WESP - Wetland Ecosystem Services Protocol
There are three sets of WESP R scripts to identify wetlands for monitoring within a study area.
- WESP_data_prep - This repository, presents a set of scripts used to generate a new, or process existing, wetlands for a study area;
- WESP_Sample_Design - attributes wetlands with local human and natural landscape characteristics - https://github.com/BCWF-Wetlands/WESP_Sample_Design; and
- WESP_Sample_Draw - Generates a report card of how samples are meeting sampling criteria and performs a draw to select wetlands to meet criteria - https://github.com/BCWF-Wetlands/WESP_Sample_Draw.
There are a set of scripts that help prepare data for WESP sampling, there are four basic sets of scripts:
Control scripts - set up the analysis environment;
Load scripts - loads base data and field data;
Clean scripts - cleans generic wetlands and ecoprovince/study area specific wetlands; and
Specialty scripts - for ecoprovince wetlands that require additional processing.
#Control Scripts:
run_all.R Sets local variables and directories used by scripts, presents script order.
header.R loads R packages, sets global directories, and attributes.
#Load Scripts:
01_base_load.R Loads core spatial layers used by routines.
01_load.R load script sourcing all the various pre-processed layers required - typically only required for first run.
01_load_2022Field.R Reads and prepares 2022 field data - shapefiles of wetlands sampled.
01_load_MkWetlands.R Loads layers needed to generate new base wetlands.
01_load_pre_made_wetlands.R Loads pre 2023 wetlands.
#Clean Scripts:
02_clean_BCWF_centroids.R Cleans pre 2022 BCWF sampled wetland centroids, used to idenitfy wetlands sampled.
02_clean_Field_SIM.R Cleans 2022 Southern Interior Mountain field data.
02_clean_Field_TBP.R Cleans 2022 Taiga Boreal Plains field data.
02_clean_Field_GD.R Cleans 2022 Georgia Depression field data.
02_clean_Field_GD_Est.R Cleans 2022 Georgia Depression Estuary field data.
02_clean_geometry.R Cleans pre 2023 base wetland geometry where required.
02_clean_MkWetlands.R Takes loaded make wetland layers and constructs base wetlands.
02_clean_pre_design_wetlands.R Prepares wetlands for sample design routines.
02_clean_pre_made_wetlands.R Cleans pre-made wetlands and standradizes their content and structure.
#Speciality Scripts:
#Sub-Boreal:
Sub-boreal had new wetlands generated in 2023, cross-references ESI and BCWF PEM wetlands:
02_clean_SB_WTLND_ID.R adds an atrtribute identifiying the pre-2023 WTLND_IDs for cross-referencing.
02_clean_Sub-Boreal.R Calls ESI and PEM routines and integrates.
02_clean_SubB_ESI.R Identifies wetlands sampled by ESI in the Sub-Boreal and cross-references base wetlands.
02_clean_SubB_PEM.R identifies PEM wetlands (from Fish and Wildlife Compensation Program (FWCP)) and if a base wetland is also PEM, generates a separate set of PEM wetlands when they are not in the base wetland set.
#Southern Interior:
02_clean_field_SI.R' for SI since requires specific clean up - including adding OK PEM polygons.
The set of R WESP scripts are continually being modified and improved, including adding new study areas as sampling is initiated.
To report bugs/issues/feature requests, please file an issue.
If you would like to contribute, please see our CONTRIBUTING guidelines.
Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.
Copyright 2022 Province of British Columbia
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
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