tim-salabim / geostat2018
material for/from Geostat2018 course in Prague
☆10Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for geostat2018
- Slides and lecture notes on how to process large spatial data with R☆43Updated 4 years ago
- A package for linking R with the open-source SAGA-GIS☆31Updated 2 months ago
- a discussion repository: raise issues, or contribute!☆54Updated 3 years ago
- Simplify the linking of GIS/RS and CLI tools☆25Updated last week
- Update of RPyGeo package - currently WIP☆28Updated 4 years ago
- Links and slides from GEOSTAT2018☆37Updated 6 years ago
- Presentations, code and solutions for the geocompr workshop at GeoStats 2018☆15Updated 6 years ago
- R client package for working with openEO backends☆61Updated 3 weeks ago
- R Wrappers for the Geospatial Data Abstraction Library (GDAL) Utilities☆18Updated 4 years ago
- Examples of different Spatial Interpolation approaches in R☆17Updated 2 years ago
- OpenGeoHub Summer School: Mastering Machine Learning - Lecture and Training☆11Updated 4 years ago
- R package for landscape stratification, sampling, and modeling of environmental phenomena using spatial data in R.☆16Updated 2 years ago
- This repository contains Mastodon accounts of #rspatial developers and contributors 👩💻 👨💻, as well as some of their communities 📣 …☆38Updated last year
- Code for Retrieving STAC Information, addressing Repeated Spatial Infelicities and interfacing with Rsome Spectral Indices☆46Updated 2 weeks ago
- R Package to access the Data Service Platform for Sentinel-2 Surface Reflectance and Value-Added Products☆34Updated 2 years ago
- Global Maps of Potential Natural Vegetation based on Machine Learning☆33Updated last year
- Create tidyverse methods for dealing with GEE image and imageCollections.☆48Updated last year
- LandsatTS is an R package to facilitate retrieval, cleaning, cross-calibration, and phenological modeling of Landsat time-series data.☆26Updated 3 weeks ago
- ☆21Updated 10 months ago
- GeoPAT 2 - a suite of modules dedicated to analysis of large datasets in their entirety using spatial and/or temporal patterns☆45Updated 3 months ago
- Rmarkdown tutorial on how to generate spatial sampling and how to use resampling methods for ML☆13Updated last year
- R Client Library for SpatioTemporal Asset Catalog☆71Updated 3 months ago
- R package for harmonic modelling of time-series data☆29Updated 4 years ago
- Interpreted interface between the GRASS geographical information system and R☆26Updated last week
- ☆37Updated last year
- The goal of supercells is to utilize the concept of superpixels to a variety of spatial data.☆66Updated 2 months ago
- Exploring RGEE.☆22Updated 2 years ago
- R Bindings to GDAL (Geospatial Data Abstraction Library)☆41Updated this week
- Aggregating agronomic data☆20Updated this week