geojsonio - Convert Data from and to 'GeoJSON' or 'TopoJSON'

Convert data to 'GeoJSON' or 'TopoJSON' from various R classes, including vectors, lists, data frames, shape files, and spatial classes. 'geojsonio' does not aim to replace packages like 'sp', 'rgdal', 'rgeos', but rather aims to be a high level client to simplify conversions of data from and to 'GeoJSON' and 'TopoJSON'.

Last updated 12 months ago

geojsontopojsongeospatialconversiondatainput-outputio

151 stars 10.85 score 56 dependencies 12 dependents

spatialsample - Spatial Resampling Infrastructure

Functions and classes for spatial resampling to use with the 'rsample' package, such as spatial cross-validation (Brenning, 2012) <doi:10.1109/IGARSS.2012.6352393>. The scope of 'rsample' and 'spatialsample' is to provide the basic building blocks for creating and analyzing resamples of a spatial data set, but neither package includes functions for modeling or computing statistics. The resampled spatial data sets created by 'spatialsample' do not contain much overhead in memory.

Last updated 5 days ago

70 stars 8.57 score 57 dependencies 2 dependents

terrainr - Landscape Visualizations in R and 'Unity'

Functions for the retrieval, manipulation, and visualization of 'geospatial' data, with an aim towards producing '3D' landscape visualizations in the 'Unity' '3D' rendering engine. Functions are also provided for retrieving elevation data and base map tiles from the 'USGS' National Map <https://apps.nationalmap.gov/services/>.

Last updated 3 months ago

datasetsdemsmapmap-tilesmappingnational-mapnhdorthoimagerypeer-reviewedprogressrretrieve-dataterrainrunityunity-rendering-engineusgs

71 stars 7.62 score 52 dependencies

rsi - Efficiently Retrieve and Process Satellite Imagery

Downloads spatial data from spatiotemporal asset catalogs ('STAC'), computes standard spectral indices from the Awesome Spectral Indices project (Montero et al. (2023) <doi:10.1038/s41597-023-02096-0>) against raster data, and glues the outputs together into predictor bricks. Methods focus on interoperability with the broader spatial ecosystem; function arguments and outputs use classes from 'sf' and 'terra', and data downloading functions support complex 'CQL2' queries using 'rstac'.

Last updated 5 days ago

43 stars 7.18 score 44 dependencies

waywiser - Ergonomic Methods for Assessing Spatial Models

Assessing predictive models of spatial data can be challenging, both because these models are typically built for extrapolating outside the original region represented by training data and due to potential spatially structured errors, with "hot spots" of higher than expected error clustered geographically due to spatial structure in the underlying data. Methods are provided for assessing models fit to spatial data, including approaches for measuring the spatial structure of model errors, assessing model predictions at multiple spatial scales, and evaluating where predictions can be made safely. Methods are particularly useful for models fit using the 'tidymodels' framework. Methods include Moran's I ('Moran' (1950) <doi:10.2307/2332142>), Geary's C ('Geary' (1954) <doi:10.2307/2986645>), Getis-Ord's G ('Ord' and 'Getis' (1995) <doi:10.1111/j.1538-4632.1995.tb00912.x>), agreement coefficients from 'Ji' and Gallo (2006) (<doi: 10.14358/PERS.72.7.823>), agreement metrics from 'Willmott' (1981) (<doi: 10.1080/02723646.1981.10642213>) and 'Willmott' 'et' 'al'. (2012) (<doi: 10.1002/joc.2419>), an implementation of the area of applicability methodology from 'Meyer' and 'Pebesma' (2021) (<doi:10.1111/2041-210X.13650>), and an implementation of multi-scale assessment as described in 'Riemann' 'et' 'al'. (2010) (<doi:10.1016/j.rse.2010.05.010>).

Last updated 3 months ago

spatialspatial-analysistidymodelstidyverse

38 stars 6.69 score 44 dependencies

unifir - A Unifying API for Calling the 'Unity' '3D' Video Game Engine

Functions for the creation and manipulation of scenes and objects within the 'Unity' '3D' video game engine (<https://unity.com/>). Specific focuses include the creation and import of terrain data and 'GameObjects' as well as scene management.

Last updated 8 months ago

unifirunityunity3dvisualization

29 stars 6.16 score 3 dependencies 1 dependents

heddlr - Dynamic R Markdown Document Generation

Helper functions designed to make dynamically generating R Markdown documents easier by providing a simple and tidy way to create report pieces, shape them to your data, and combine them for exporting into a single R Markdown document.

Last updated 3 years ago

heddlrrmarkdown

23 stars 5.06 score 3 dependencies

proceduralnames - Several Methods for Procedural Name Generation

A small, dependency-free way to generate random names. Methods provided include the adjective-surname approach of Docker containers ('<https://github.com/moby/moby/blob/master/pkg/namesgenerator/names-generator.go>'), and combinations of common English or Spanish words.

Last updated 2 years ago

7 stars 4.62 score 0 dependencies 4 dependents

mvdf - A Minimum Viable Data Format for 3D Rendering via Blender

A small, self-contained, minimum viable data format providing a standard interface for using R as a front-end for the Blender 3D rendering program. The core approach centers around an S4 class, 'mvdf', with getter, setter, and validation methods designed to be extended for more specific rendering approaches.

Last updated 3 years ago

blender

15 stars 4.18 score 3 dependencies