Package: denhotspots 0.2.0

denhotspots: Local Spatial Statistics and Space-Time Analysis of Dengue Hotspots

Tools to identify persistent dengue transmission hotspots in Mexico. Calculates the local spatial statistics Getis-Ord Gi* and local spatial heteroscedasticity (Hi), runs space-time analyses (Knox test, SaTScan, transmission chains) and fits spatial log-Gaussian Cox process models with INLA to map the intensity of dengue cases.

Authors:Felipe Antonio Dzul Manzanilla [aut, cre], Cecilia Cruz López [aut], Emmanuel Morales García [aut], Fabian Correa-Morales [ctb]

denhotspots_0.2.0.tar.gz
denhotspots_0.2.0.zip(r-4.7-any)denhotspots_0.2.0.zip(r-4.6-any)denhotspots_0.2.0.zip(r-4.5-any)
denhotspots_0.2.0.tgz(r-4.6-any)denhotspots_0.2.0.tgz(r-4.5-any)
denhotspots_0.2.0.tar.gz(r-4.7-any)denhotspots_0.2.0.tar.gz(r-4.6-any)
denhotspots_0.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
denhotspots/json (API)

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

Bug tracker:https://github.com/fdzul/denhotspots/issues

Pkgdown/docs site:https://fdzul.github.io

Datasets:

On CRAN:

Conda:

3.78 score 1 stars 7 scripts 25 exports 71 dependencies

Last updated from:19981d52ff. Checks:7 WARNING, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develWARNING376
source / vignettesOK662
linux-releaseWARNING566
macos-releaseWARNING486
macos-oldrelWARNING426
windows-develWARNING331
windows-releaseWARNING515
windows-oldrelWARNING266
wasm-releaseOK522

Exports:%>%bivariate_mapcases_by_agemdata_geocodengeocodengihiintensity_plotknoxmap_riskpoint_to_polygonspower_law_plotread_den_datasetread_dengue_datasetrisk_agebrisk_h3satscanRsave_geocodensf_joint_covspace_time_link_mapspatial_lgcpstaticmap_intensitystaticmap_knoxsstaticmap_satscansubset_dentransmission_chains_map

Dependencies:abindaskpassbootclassclassIntclicowplotcpp11crayoncurldata.tableDBIdeldirdigestdownloaderdplyre1071farverfishualizegenericsggplot2ggspatialgluegridExtragtablehmshttrisobandjpegjsonliteKernSmoothlabelinglatticelifecyclelubridatemagrittrmimeopensslpillarpkgconfigpngprettyunitsprogressproxypurrrR6RColorBrewerRcpprgeomexrlangrosms2S7scalessfspspDataspdepstringistringrsystibbletidyrtidyselecttimechangeunitsutf8vctrsviridisLitewithrwk

clusters_analysis
Rendered fromclusters_analysis.Rmdusingknitr::rmarkdown

Last update: 2022-03-27
Started: 2022-03-27

count_cases_by_polygons
Rendered fromcount_cases_by_polygons.Rmdusingknitr::rmarkdown

Last update: 2022-03-27
Started: 2022-03-27

geocoding
Rendered fromgeocoding.Rmdusingknitr::rmarkdown

Last update: 2022-03-27
Started: 2022-03-27

hotspots_analysis
Rendered fromhotspots_analysis.Rmdusingknitr::rmarkdown

Last update: 2022-03-27
Started: 2022-03-27

knox_test
Rendered fromknox_test.Rmdusingknitr::rmarkdown

Last update: 2022-03-27
Started: 2022-03-27

lgcp_spatial
Rendered fromlgcp_spatial.Rmdusingknitr::rmarkdown

Last update: 2022-03-27
Started: 2022-03-27

Readme and manuals

Help Manual

Help pageTopics
bivariate_mapbivariate_map
cases_by_agemcases_by_agem
data_geocodendata_geocoden
geocodengeocoden
gihigihi
intensity_plotintensity_plot
knox testknox
map_riskmap_risk
point_to_polygonpoint_to_polygons
power_law_plotpower_law_plot
Power Laws data.power_laws
Read the dengue dataset for geocodingread_den_dataset
read_dengue_datasetread_dengue_dataset
risk_agebrisk_ageb
risk_h3risk_h3
satscanRsatscanR
save_geocodensave_geocoden
sf_joint_cov this function apply the dplyr::left_join between sf and covid data of Méxicosf_joint_cov
space-time link mapspace_time_link_map
Spatial Log Gaussian Cox Processspatial_lgcp
staticmap_intensitystaticmap_intensity
staticmap_knoxsstaticmap_knoxs
staticmap_satscanstaticmap_satscan
subset_densubset_den
transmission_chain_maptransmission_chains_map