Create and summarize spatial resampling objects 🗺
☆80Jul 6, 2026Updated 3 months ago
Alternatives and similar repositories for spatialsample
Users that are interested in spatialsample are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Ergonomic tooling to assess models of spatial data☆43Apr 16, 2025Updated last year
- Calculate spatial weights and lags with {sf} objects and the tidyverse.☆58Mar 29, 2022Updated 4 years ago
- ✂️🌐 A R package with extra options for simple features and spatial data☆20Sep 16, 2026Updated 3 weeks ago
- Copernicus Digital Elevation Models (DEM)☆17Dec 9, 2024Updated last year
- R interface for PaleoClim paleoclimate data☆15Jul 23, 2026Updated 2 months ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Graph Coloring Algorithms for tidygraph☆20Jan 18, 2020Updated 6 years ago
- 🚚 AWS for Data Scientists☆22Aug 27, 2026Updated last month
- parsnip Model Functions for Bagging☆29Sep 17, 2026Updated 3 weeks ago
- Reduce the size of model objects saved to disk☆139Feb 25, 2026Updated 7 months ago
- An R wrapper of the a5 rust crate☆30Sep 28, 2026Updated last week
- An R package to repair broken GIS polygons using the prepair (https://github.com/tudelft3d/prepair) Cpp library - mirror to the Gitlab re…☆12Nov 9, 2022Updated 3 years ago
- Create a collection of modeling workflows☆98Feb 24, 2026Updated 7 months ago
- The blockCV package creates spatially or environmentally separated training and testing folds for cross-validation to provide a robust er…☆147Sep 22, 2026Updated 2 weeks ago
- R package for model-based geostatistics☆46Mar 31, 2026Updated 6 months ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Construct Modeling Packages☆108Jun 9, 2026Updated 4 months ago
- A tidy interface for spatial dependence☆141Aug 14, 2026Updated last month
- Spatial error estimation and variable importance☆21Jan 30, 2025Updated last year
- parsnip extension for rule-based models☆42Jun 9, 2026Updated 4 months ago
- An R Frontend for the GDAL CLI☆25Aug 21, 2026Updated last month
- Tidy Geospatial Networks in R☆402May 14, 2026Updated 4 months ago
- Additional functions for model tuning☆65Sep 17, 2026Updated 3 weeks ago
- Get DEMs and orthoimagery from the USGS National Map, georeference your images and merge rasters, and visualize with Unity 3D☆78Jul 25, 2025Updated last year
- Spatial objects within the mlr3 ecosystem☆45Sep 23, 2026Updated 2 weeks ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- High-Level Modeling Functions with 'torch'☆75Updated this week
- An R package for tidy stacked ensemble modeling☆302Oct 22, 2025Updated 11 months ago
- Work with and visualize terra spatial objects using tidyverse methods and ggplot2.☆219Updated this week
- parsnip wrappers for Poisson regression☆23Apr 20, 2026Updated 5 months ago
- Simulate spatial data☆27May 26, 2026Updated 4 months ago
- Download and import OpenStreetMap data from Geofabrik and other providers☆195Oct 1, 2026Updated last week
- Java Environments for R Projects☆25Aug 29, 2026Updated last month
- Tools for post-processing class probability estimates☆123Sep 17, 2026Updated 3 weeks ago
- Parsnip wrappers for survival models☆125Sep 17, 2026Updated 3 weeks ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- CRAN Task View: Analysis of Spatial Data☆57May 27, 2026Updated 4 months ago
- A package for linking R with the open-source SAGA-GIS☆34May 21, 2025Updated last year
- R package to fit spatial models with Random Forest☆126Jul 15, 2026Updated 2 months ago
- A back-end agnostic spatial data frame inspired by rust trait implementations☆28Sep 16, 2026Updated 3 weeks ago
- Quantify extrapolation of new samples given a training set☆48Feb 28, 2026Updated 7 months ago
- obtain raster data☆52Jan 27, 2024Updated 2 years ago
- Transformation of regularly spaced grids into contour polygons☆36May 12, 2023Updated 3 years ago