Package: kernstadapt 0.4.0

kernstadapt: Adaptive Kernel Estimators for Point Process Intensities on Linear Networks

Adaptive estimation of the first-order intensity function of a spatio-temporal point process using kernels and variable bandwidths. The methodology used for estimation is presented in González and Moraga (2022). <doi:10.48550/arXiv.2208.12026>.

Authors:Jonatan A González [aut, cre], Paula Moraga [aut]

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manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
kernstadapt/json (API)

# Install 'kernstadapt' in R:
install.packages('kernstadapt', repos = c('https://jagm03.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/jagm03/kernstadapt/issues

Datasets:
  • aegiss - Diggle et al.'s data: Non-specific gastrointestinal data
  • amazon - Locations of fires in the Amazon biome.
  • lGCpp - Simulated spatio-temporal log Gaussian Cox point pattern data
  • santander - Santander earthquakes epicentres

On CRAN:

Conda:

5.13 score 6 stars 15 scripts 309 downloads 10 exports 26 dependencies

Last updated from:ba800a02ea. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK145
source / vignettesOK195
linux-releaseOK150
macos-releaseOK133
macos-oldrelOK210
windows-develOK126
windows-releaseOK119
windows-oldrelOK120
wasm-releaseOK107

Exports:bw.abram.netbw.abram.tempdens.directdens.direct.sepdens.net.EqualSplitdens.net.heatdens.pardens.par.sepdens.par.tempseparability.test

Dependencies:abindcodetoolsdeldirdoParallelforeachgoftestiteratorslatticeMatrixmgcvmisc3dnlmepolycliprpartsparrspatstatspatstat.dataspatstat.explorespatstat.geomspatstat.linnetspatstat.modelspatstat.randomspatstat.sparsespatstat.univarspatstat.utilstensor

Adaptive spatio-temporal intensity by partitioning algorithm
First example: Log-Gaussian spatio-temporal point pattern | Generating an observation | Estimating global bandwidths | Intensity estimates | Second example: Amazonia Data | Loading and visualising data | Separability test | Dynamic intensity estimate
Rendered fromintensity_with_simulation.Rmdusingknitr::rmarkdown

Last update: 2022-09-15
Started: 2022-09-12

Adaptive estimation of spatio-temporal intensities using kernstadapt
Introduction | Intensity function | Separable estimation of the intensity | Spatio-temporal adaptative estimator | Fast estimation through partitioning algorithm | Data | Aegiss | Santander's earthquakes | Amazon fires | Variable bandwidth | Separability test | Estimator | Direct estimator | Partition algorithm estimator | Non-separable estimation of the intensity
Rendered fromspatiotemporal_intensity.Rmdusingknitr::rmarkdown

Last update: 2022-09-14
Started: 2022-09-12

Adaptive temporal intensity
First example: Temporal point pattern with a hotspot | Second example: Temporal point pattern with three black holes | Third example: Aegiss temporal intensity
Rendered fromtemp_intensity.Rmdusingknitr::rmarkdown

Last update: 2022-09-14
Started: 2022-06-30