Pinned Repositories
cropHostMap
ETL pipeline to identify hosts (i.e., crops) from the NASS Cropland Data Layer products and create host map derivatives
geotag
Procedures and code to query social media APIs to identify the location of user generated spatial content
hostDetection
informalTrails
Vegetation trampling and prevalence of bare ground associated with visitor activity in protected natural areas is a common and perennial management concern. Such disturbance (e.g., patches or corridors of bare ground), influence the vegetation community structure, alter hydrology, and visually scar the landscape. Monitoring of such features can be time intensive, offering an opportunity to test data derived from remotely sensed imagery to expedite the process. This project uses aerial imagery to automate and extract linear and areal disturbances in open landscapes and compare to mapped GPS data.
Pandemics_Graph_Viz
PoPS-Global_HPC
pandemic_hpc
structure and scripts to run the Pandemic model on HPC
PoPS-Global
A hierarchical model for global plant insect and pathogen spread via human movement
cwaldenschreiner's Repositories
cwaldenschreiner/geotag
Procedures and code to query social media APIs to identify the location of user generated spatial content
cwaldenschreiner/cropHostMap
ETL pipeline to identify hosts (i.e., crops) from the NASS Cropland Data Layer products and create host map derivatives
cwaldenschreiner/hostDetection
cwaldenschreiner/informalTrails
Vegetation trampling and prevalence of bare ground associated with visitor activity in protected natural areas is a common and perennial management concern. Such disturbance (e.g., patches or corridors of bare ground), influence the vegetation community structure, alter hydrology, and visually scar the landscape. Monitoring of such features can be time intensive, offering an opportunity to test data derived from remotely sensed imagery to expedite the process. This project uses aerial imagery to automate and extract linear and areal disturbances in open landscapes and compare to mapped GPS data.
cwaldenschreiner/Pandemics_Graph_Viz
cwaldenschreiner/PoPS-Global_HPC