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 7.61 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 8 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