MiKatt / openSTARSLinks
open source implementation of the STARS ArcGIS toolbox
☆46Updated last year
Alternatives and similar repositories for openSTARS
Users that are interested in openSTARS are comparing it to the libraries listed below
Sorting:
- ☆38Updated last year
- Dealing with Multiplatform Satellite Images from Landsat, MODIS, and Sentinel☆54Updated last year
- R package for visualizing uncertainty in spatial data☆54Updated 3 weeks ago
- a discussion repository: raise issues, or contribute!☆53Updated 4 years ago
- Southern Ocean round maps☆27Updated 4 months ago
- Landmap package for R☆48Updated 3 years ago
- An R 📦 to find, process, and describe "areas of interest"☆42Updated last year
- River Network Distance Computation and Applications☆26Updated 8 months ago
- A package for linking R with the open-source SAGA-GIS☆33Updated last month
- A book on elegant and informative maps with the tmap package☆33Updated 5 months ago
- API Client for CHIRPS☆31Updated 5 months ago
- R Wrappers for the Geospatial Data Abstraction Library (GDAL) Utilities☆17Updated 5 years ago
- time extension to sf objects☆50Updated 4 months ago
- Import Climate Indices into R☆18Updated last year
- Data aggregation methods for raster data☆51Updated 2 years ago
- A lightweight package for accessing basemaps from open sources in R 🗺️☆61Updated 7 months ago
- 📦 R package for some of the less-glamorous tasks involved in landscape analysis 🌏☆48Updated 2 months ago
- Links and slides from GEOSTAT2018☆37Updated 6 years ago
- sftrack: Modern classes for tracking and movement data☆53Updated last year
- An R package to analyze, summarize, and visualize daily streamflow data 💧☆60Updated 9 months ago
- ☆85Updated 3 months ago
- Ergonomic tooling to assess models of spatial data☆38Updated 3 months ago
- a snow data network (SNOTEL) R package☆16Updated 5 months ago
- Slides and lecture notes on how to process large spatial data with R☆43Updated 4 years ago
- R Bindings to GDAL (Geospatial Data Abstraction Library)☆46Updated last week
- Tidy approaches with raster.☆48Updated last year
- The goal of supercells is to utilize the concept of superpixels to a variety of spatial data.☆69Updated 10 months ago
- Miscellaneous Functions for Working with 'stars' Rasters☆25Updated last year
- Open source book: Spatial sampling with R☆74Updated last year
- 📦 R package to simulate neutral landscape models 🏔☆65Updated 2 months ago