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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 -...These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.