The goal of geoidep📦 is to offers R users an easy and accessible way to obtain official cartographic data on various topics, such as society🏛️, transport🚗, environment🌱, agriculture🌾, climate⛅️,among others.This includes information provided by regional government entities and technical-scientific institutions, managed by the Spatial Data Infrastructure of Peru.
⚠️ The package accesses these datasets dynamically from official public servers, without redistributing data locally.
The package is currently available in R and Python (coming soon).You can install the development version of geoidep like so:
install.packages('pak')
pak::pkg_install('ambarja/geoidep')or also the official version available on CRAN:
install.packages('geoidep')library(geoidep)── Welcome to geoidep ─────────────────────────────────────────────────────────────────
ℹ geoidep is a wrapper that enables you to download cartographic data for Peru directly from R.
ℹ Currently, `geoidep` supports data from the following providers:
• Geobosque
• INAIGEM
• INEI
• Midagri
• and more!
ℹ For more information, please use the `get_data_sources()` function.In this example, we can identify the list of providers available in geoidep and the layers they present.
get_data_sources() |>
head()
#> # A tibble: 6 × 7
#> provider category layer layer_can_be_actived admin_en year link_geoportal
#> <chr> <chr> <chr> <lgl> <chr> <chr> <chr>
#> 1 INEI General departa… TRUE Nationa… 2019 https://ide.i…
#> 2 INEI General provinc… TRUE Nationa… 2019 https://ide.i…
#> 3 INEI General distrit… TRUE Nationa… 2019 https://ide.i…
#> 4 Geobosque Forest stock_b… FALSE Ministr… 2001… https://geobo…
#> 5 Geobosque Forest stock_b… TRUE Ministr… 2001… https://geobo…
#> 6 Geobosque Forest stock_b… TRUE Ministr… 2001… https://geobo…In summary the suppliers and the number of available layers
get_providers()
#> # A tibble: 8 × 2
#> provider layer_count
#> <fct> <int>
#> 1 Geobosque 5
#> 2 INAIGEM 5
#> 3 INEI 7
#> 4 MapBiomas Alerta 1
#> 5 MTC 26
#> 6 Senamhi 1
#> 7 Serfor 1
#> 8 Sernanp 31This is a simple example of how to download Peru’s official administrative boundaries:
dep <- get_departaments(show_progress = FALSE)The first 10 rows of the original data are displayed here:
head(dep)
#> Simple feature collection with 6 features and 3 fields
#> Geometry type: MULTIPOLYGON
#> Dimension: XY
#> Bounding box: xmin: -79.45857 ymin: -17.28501 xmax: -70.80408 ymax: -2.986125
#> Geodetic CRS: WGS 84
#> ccdd nombdep fuente geom
#> 1 01 AMAZONAS V Censo Nacional Economico MULTIPOLYGON (((-77.81399 -...
#> 2 02 ANCASH V Censo Nacional Economico MULTIPOLYGON (((-77.64697 -...
#> 3 03 APURIMAC V Censo Nacional Economico MULTIPOLYGON (((-73.74655 -...
#> 4 04 AREQUIPA V Censo Nacional Economico MULTIPOLYGON (((-71.98109 -...
#> 5 05 AYACUCHO V Censo Nacional Economico MULTIPOLYGON (((-74.34843 -...
#> 6 06 CAJAMARCA V Censo Nacional Economico MULTIPOLYGON (((-78.70034 -...