michaeldorman / shadowLinks
R Package for Geometric Shadow Calculations
☆31Updated 2 years ago
Alternatives and similar repositories for shadow
Users that are interested in shadow are comparing it to the libraries listed below
Sorting:
- Simplify the linking of GIS/RS and CLI tools☆28Updated last month
- Interpreted interface between the GRASS geographical information system and R☆33Updated 5 months ago
- Interactively Explore 3D Raster Data Cubes☆25Updated 5 months ago
- ☆33Updated last week
- R Client Library for SpatioTemporal Asset Catalog☆77Updated last month
- A package for linking R with the open-source SAGA-GIS☆33Updated 8 months ago
- R Wrappers for the Geospatial Data Abstraction Library (GDAL) Utilities☆19Updated 5 years ago
- Slides and lecture notes on how to process large spatial data with R☆44Updated 5 years ago
- ☆25Updated last year
- Presentations, code and solutions for the geocompr workshop at GeoStats 2018☆15Updated 7 years ago
- Copernicus Data Space Ecosystem API Wrapper☆20Updated last week
- Download and review 1 m Canopy Height Model data produced by Tolan et al. (2024)☆31Updated last year
- Whitebox Workflows for R☆31Updated last year
- R client package for working with openEO backends☆70Updated 6 months ago
- Raster time series visualization☆21Updated 2 years ago
- An R package for efficient processing of earth observation data using GDAL☆25Updated last week
- GeoPAT 2 - a suite of modules dedicated to analysis of large datasets in their entirety using spatial and/or temporal patterns☆44Updated last year
- R package for landscape stratification, sampling, and modeling of environmental phenomena using spatial data in R.☆16Updated 3 years ago
- A reproducible resource for teaching geographic data science in R☆33Updated last year
- ☆40Updated 2 years ago
- ☆17Updated 3 years ago
- Examples of different Spatial Interpolation approaches in R☆19Updated 4 years ago
- R Package to access the Data Service Platform for Sentinel-2 Surface Reflectance and Value-Added Products☆34Updated 10 months ago
- Raster processing benchmarks for Python, R, and Julia packages☆28Updated 3 months ago
- Open source book: Spatial sampling with R☆77Updated 2 years ago
- Fast, accurate zonal statistics for "big" categorical and continuous data☆31Updated last year
- Links and slides from GEOSTAT2018☆36Updated 7 years ago
- Making public access of public data a bit easier☆28Updated 7 months ago
- ☆17Updated 5 years ago
- Computation of Spatial Data by Hierarchical and Objective Partitioning of Inputs for Parallel Processing http://doi.org/10.1016/j.softx.2…☆32Updated 5 months ago