getSpatialData
Spatial data processor
An R package for querying, preprocessing and downloading various spatial datasets from public APIs.
An R package 📦 making it easy to query, preview, download and preprocess multiple kinds of spatial data 🛰 via R. All beta.
304 stars
22 watching
65 forks
Language: R
last commit: about 3 years agoLinked from 3 awesome lists
api-clientcopernicusesagetspatialdatalandsatmodisnasarremote-sensingsentinelspatial-datausgs-earth-explorer
Related projects:
| Repository | Description | Stars |
|---|---|---|
| An R package for spatial data analysis and processing of raster data. | 546 | |
| Enables R users to access and analyze remote sensing data on Google's cloud-based platform | 694 | |
| Provides an interface to the GDAL library for geospatial data manipulation and analysis in R. | 42 | |
| A Python library for efficient raster analysis and processing of spatial data | 848 | |
| Provides a spatial framework and convenience functions for accessing and translating spatial data | 23 | |
| A Python-based library for simplifying access to spatial data processing for geological modeling and subsurface data analysis. | 264 | |
| Automates parallel computation of spatial data from large datasets | 14 | |
| Provides classes and methods for manipulating spatiotemporal data cubes with spatial raster dimensions and time bands. | 568 | |
| An R package for working with satellite imagery data as regular raster data cubes | 122 | |
| A Rust library for reading and writing geospatial data formats without an intermediate representation. | 368 | |
| A Julia package that provides a simple interface to work with geospatial raster data. | 51 | |
| Provides fast alternatives to raster package functions in R for efficient data processing and analysis of geospatial data. | 27 | |
| Provides simple features access for R, allowing users to work with geospatial data in a unified way across various formats and systems. | 1,353 | |
| A Julia package providing common types and methods for reading, writing, and manipulating rasterized spatial data. | 217 | |
| Allows developers to use Hadoop's data processing system for spatial data analysis | 369 |