Package: camtrapmonitoring 0.12.1

camtrapmonitoring: Camera Trap Monitoring For Estimating Wildlife Density

Evaluating potential camera trap locations. Potential locations are evaluated using relevant spatial layers producing a dataset of selected locations with covariates that can be used to quantify sampling bias. Soon - density estimation methods.

Authors:Alec L. Robitaille [aut, cre]

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camtrapmonitoring.pdf |camtrapmonitoring.html
camtrapmonitoring/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/robitalec/camtrapmonitoring/issues

Datasets:

On CRAN:

camera-trapcamera-trapsspatialwildlife

3.30 score 2 stars 2 scripts 8 exports 19 dependencies

Last updated 5 months agofrom:6c0aefac5f. Checks:OK: 1 WARNING: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 23 2024
R-4.5-winWARNINGOct 23 2024
R-4.5-linuxWARNINGOct 23 2024
R-4.4-winWARNINGOct 23 2024
R-4.4-macWARNINGOct 23 2024
R-4.3-winWARNINGOct 23 2024
R-4.3-macWARNINGOct 23 2024

Exports:binary_layereval_buffereval_disteval_ptgrid_ctgrid_designsample_ctscale_layer

Dependencies:BHclassclassIntDBIdistancetoe1071geodistKernSmoothmagrittrMASSnaborproxyRcppRcppEigens2sfterraunitswk

Introduction to camtrapmonitoring

Rendered fromintro-camtrapmonitoring.Rmdusingknitr::rmarkdownon Oct 23 2024.

Last update: 2024-01-27
Started: 2023-07-25

Readme and manuals

Help Manual

Help pageTopics
Binary layerbinary_layer
camtrapmonitoringcamtrapmonitoring-package camtrapmonitoring
Example species densityclearwater_lake_density
Example elevationclearwater_lake_elevation
Example extentclearwater_lake_extent
Example hydrology featuresclearwater_lake_hydro
Example land coverclearwater_lake_land_cover
Example roadsclearwater_lake_roads
Example wetland featuresclearwater_lake_wetlands
Evaluate camera trap locations by buffered sampling of layerseval_buffer
Evaluate distance-toeval_dist
Evaluate camera trap locations by point sampling layerseval_pt
Make camera trap gridsgrid_ct
Grid designgrid_design
Camera trap samplingsample_ct
Scale in region of interestscale_layer