roe_gps_data: Example data from a GPS tracking project

In mablab/rpostgisLT: Managing Animal Movement Data with 'PostGIS' and R

Description

Example datasets related to a GPS tracking project for roe deer in Trentino Region, Italy. Four datasets include raw data from GPS sensors (roe_gps_data), information on animals, sensors, and sensor deployments on animals (roe_sensors_animals_tables), and ancillary vector (roe_vector_geom) and raster (roe_raster) spatial datasets.

Usage

roe_gps_data

roe_sensors_animals_tables

roe_vector_geom

roe_raster

Format

roe_gps_data: A list containing five data.frames corresponding to five GPS sensors

GSM01438

data frame for sensor 01438

GSM01508

data frame for sensor 01508

GSM01511

data frame for sensor 01511

GSM01512

data frame for sensor 01512

GSM02927

data frame for sensor 02927

roe_sensors_animals_tables: A list containing three data.frames

animals

data frame containing basic information on animals

gps_sensors

data frame containing basic information on GPS sensors

gps_sensors_animals

data frame containing information on deployment of GPS sensors on animals

roe_vector_geom: A list containing four Spatial*DataFrames

study_area

SpatialPolygonsDataFrame containing boundary of study area

adm_boundaries

SpatialPolygonsDataFrame containing administrative boundaries in study area

meteo_stations

SpatialPointsDataFrame containing locations of weather stations in study area

roads

SpatialLinesDataFrame containing representation of roads for study area

roe_raster: A list containing two RasterLayer datasets

corine06

RasterLayer depicting land cover classification in the study area

srtm_dem

RasterLayer digital elevation model in the study area

Source

Urbano, F. & Cagnacci, F., eds. (2014) Spatial Database for GPS Wildlife Tracking Data: A Practical Guide to Creating a Data Management System with PostgreSQL/PostGIS and R. Springer, 257 pp. DOI: 10.1007/978-3-319-03743-1

Examples

data("roe_gps_data")
head(roe_gps_data$GSM01438)
data("roe_sensors_animals_tables")
roe_sensors_animals_tables$animals
data("roe_vector_geom")
if (require(sp, quietly = TRUE)) {
    plot(roe_vector_geom$adm_boundaries)
    plot(roe_vector_geom$roads, col = 'red', add = TRUE)
}
if (require(raster, quietly = TRUE)) {
 data("roe_raster")
 plot(roe_raster$srtm_dem)
 }

mablab/rpostgisLT documentation built on May 10, 2020, 9:35 a.m.