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R: Generate Clustered Points with 'sp'
...Generate Clustered Points with sp Description Uses sp::spsample() with method "clustered" to produce points, converts back to sf, and spatial joins with input shp. Each engine function takes...
/CRAN/refmans/dots/html/engine_sp_clustered.html
cran-help matching:
sf, points, points, cluster, cluster and cluster |
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R: Clustered samples simulation
...Clustered samples simulation Description A simple procedure to simulate clustered points based on a two-step sampling. Usage clustered_sample(sarea, nsamples, nparents, radius) Arguments sarea polygon.
/CRAN/refmans/CAST/html/clustered_sample.html
cran-help matching:
sf, points, cluster, cluster and cluster |
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R: Spatial Clustering Cross-Validation
...disjointed sets by clustering points based on their spatial coordinates. A resample of the analysis data consists of V-1 of the folds/clusters while the assessment set contains the final fold/cluster.
/CRAN/refmans/spatialsample/html/spatial_clustering_cv.html
cran-help matching:
sf, points, cluster, cluster and cluster |
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Using {sf} operations
...(sf) # package suggests library(tidyr) library(stringr) library(ggplot2) Density polygons as simple features As a first example, we’ll estimate how much different data clusters overlap in the s01...
/CRAN/packages/densityarea/vignettes/sf-operations.html
cran-vignettes matching:
sf, sf, sf, points and cluster |
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R: Identify significant spatial clusters of points
...significant spatial clusters of points Description Identify hotspot and coldspot locations, that is cells in a regular grid in which there are more/fewer points than would be expected if the points...
/CRAN/refmans/sfhotspot/html/hotspot_gistar.html
cran-help matching:
sf, points, points, cluster and cluster |
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R: Use environmental or spatial clustering to separate train and...
...(i.e. species data) corresponding to any of these groups or clusters are assigned to a fold. Clustering is done using kmeans for both approaches. The only requirement is x that leads to a clustering...
/CRAN/refmans/blockCV/html/cv_cluster.html
cran-help matching:
sf, points, cluster, cluster and cluster |
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R: Tidy and geospatial kernel mean shift clustering
...values x sf object with point geometry ... other parameters in ks::kms function Details Mean shift clustering is a generalisation of k-means clustering (aka unsupervised learning) which allows for non-...
/CRAN/refmans/eks/html/tidyst_kms.html
cran-help matching:
sf, points, cluster and cluster |
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R: Thin geographic points deterministically or randomly
...set of points that fall within this distance, thinning can be conducted in two ways. Both begin by first calculating all pairwise distances between points. Then, clusters of points are found based on...
/CRAN/refmans/enmSdmX/html/geoThin.html
cran-help matching:
sf, points, points and cluster |
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R: The score function
...SF.IDX(x, kmax, kmin = 2, method = "kmeans", nstart = 100) Arguments x a numeric data frame or matrix where each column is a variable to be used for cluster analysis and each row is a data point. kmax...
/CRAN/refmans/UniversalCVI/html/SF.IDX.html
cran-help matching:
sf, sf, points and cluster |
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sparrpowR: Power Analysis to Detect Spatial Relative Risk Clusters
...Risk Clusters Ian D. Buller (GitHub: @idblr) 2023-02-01 Start with the necessary packages and seed for the vignette. loadedPackages <- c("geojsonsf", "ggmap", "ggplot2", "graphics", "grDevices", "sf"...
/CRAN/packages/sparrpowR/vignettes/vignette.html
cran-vignettes matching:
sf, points, cluster and cluster |