r-spatial / RSAGA
☆24Updated 2 months ago
Alternatives and similar repositories for RSAGA:
Users that are interested in RSAGA are comparing it to the libraries listed below
- A package for linking R with the open-source SAGA-GIS☆33Updated 7 months ago
- Exploring RGEE.☆23Updated 2 years ago
- Create tidyverse methods for dealing with GEE image and imageCollections.☆48Updated 2 years ago
- LandsatTS is an R package to facilitate retrieval, cleaning, cross-calibration, and phenological modeling of Landsat time-series data.☆29Updated 6 months ago
- R package for landscape stratification, sampling, and modeling of environmental phenomena using spatial data in R.☆16Updated 2 years ago
- Whitebox Workflows for R☆31Updated 3 months ago
- A collection of 250+ examples for using Google Earth Engine in R☆31Updated 4 years ago
- R Client Library for SpatioTemporal Asset Catalog☆72Updated 9 months ago
- Extension for rgee☆44Updated last year
- Code for Retrieving STAC Information, addressing Repeated Spatial Infelicities and interfacing with Rsome Spectral Indices☆49Updated 3 weeks ago
- R client package for working with openEO backends☆67Updated 2 months ago
- Simplify the acquisition of remote sensing data☆53Updated 4 years ago
- Landmap package for R☆47Updated 2 years ago
- OpenGeoHub Summer School: Mastering Machine Learning - Lecture and Training☆11Updated 4 years ago
- Simplify the linking of GIS/RS and CLI tools☆26Updated 4 months ago
- Fast, accurate zonal statistics for "big" categorical and continuous data☆30Updated 4 months ago
- R Wrappers for the Geospatial Data Abstraction Library (GDAL) Utilities☆17Updated 4 years ago
- Examples of different Spatial Interpolation approaches in R☆18Updated 3 years 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)☆42Updated this week
- Rmarkdown tutorial on how to generate spatial sampling and how to use resampling methods for ML☆13Updated last year
- Tool for Quantitative Analysis and Visualization of Land Use and Land Cover Change.☆24Updated 11 months ago
- Links and slides from GEOSTAT2018☆37Updated 6 years ago
- Case study material for the paper on mapping the area of applicability☆19Updated 3 years ago
- R package for harmonic modelling of time-series data☆29Updated 4 years ago
- Efficient analysis of spatial biodiversity datasets for global portfolios☆35Updated this week
- Evaluating the performance of various point cloud processing tools.☆18Updated 5 months ago
- An R package for soil erosion modeling☆18Updated 2 years ago
- The goal of supercells is to utilize the concept of superpixels to a variety of spatial data.☆69Updated 7 months ago
- Visual programming of lasR pipelines☆10Updated 9 months ago