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landmap (version 0.0.13)

Automated Spatial Prediction using Ensemble Machine Learning

Description

Functions and tools for spatial interpolation and/or prediction of environmental variables (points to grids) based on using Ensemble Machine Learning with geographical distances. Package also provides access to Global Environmental Layers () produced by the OpenGeoHub.org foundation and collaborators. Some functions have been migrated and adopted from the Global Soil Information Facilities package.

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Version

Install

install.packages('landmap')

Monthly Downloads

54

Version

0.0.13

License

GPL-3

Issues

7

Pull Requests

0

Stars

48

Forks

13

Maintainer

Tomislav Hengl

Last Published

October 14th, 2021

Functions in landmap (0.0.13)

fit.vgmModel,formula,data.frame,SpatialPixelsDataFrame-method

Fit variogram using point data
TT2tri

Soil texture class to texture fractions conversion
cookfarm

The Cook Agronomy Farm data set
buffer.dist,SpatialPointsDataFrame,SpatialPixelsDataFrame-method

Derive buffer distances for a list of points
download.landgis

Access and download layers from OpenLandMap.org (LandGIS data service)
getSpatialTiles,ANY-method

Estimate a tiling system
SpatialComponents-class

A class for gridded components derived using the spc method
SpatialMemberships-class

A class for membership maps derived using the fkmeans classification
USDA.TT.im

Probability density for texture triangle
edgeroi

The Edgeroi Data Set
landgis.tables

OpenLandMap list of GeoTIFFs global mosaics
predict.spLearner

Predict using spLearner at new locations
sample.grid,SpatialPointsDataFrame-method

Sample spatial points by grids
search.landgis

Search for available landgis layers
landmap

landmap: Automated Spatial Prediction using Ensemble Machine Learning
sic1997

The SIC 1997 Data Set
spfkm,formula,SpatialPointsDataFrame,SpatialPixelsDataFrame-method

Fit a supervised fuzzy kmeans model and predict memberships
spmultinom,formula,SpatialPointsDataFrame,SpatialPixelsDataFrame-method

Fits a multinomial logistic regression to spatial data
model.data

Overlay points and grids and prepare regression matrix
tune.spLearner,spLearner-method

Optimize spLearner by fine-tuning parameters and running feature selection
makeTiles

Make a tiling system from a bounding box
train.spLearner,SpatialPointsDataFrame,ANY,SpatialPixelsDataFrame-method

Train a spatial prediction and/or interpolation model using Ensemble Machine Learning
soil.legends

Standard color palettes for soil properties and classes
train.spLearner.matrix

Train a spatial prediction and/or interpolation model using Ensemble Machine Learning from a regression/classification matrix
spsample.prob,SpatialPoints,SpatialPixelsDataFrame-method

Estimate occurrence probabilities of a sampling plan (points)
print.spLearner

Print object of type 'spLearner'
spc,SpatialPixelsDataFrame-method

Generate Principal Components using SpatialPixelsDataFrame object
isis

ISRIC Soil Information System
getSpatialTiles,Spatial-method

Split a Spatial object into tiles
soil.classes

Soil classification tables
tile,RasterLayer-method

Tile spatial layers