Perú Atlas TopoJSON

This repository provides a convenient redistribution of the Perú cartographic boundary shapefiles, 2022 edition as vector data.

This repo is deprecated. See a new version here.

Usage

You can see an interactive example in Observable notebook

Generating the files

Clone or download the repo and start a terminal. Since there isn't a web service to directly Download the vector files, download them manually and create and move them into the build folder. Then run npm run prepublishOnly to transform the zip files into topojson files.

If you need to make further adjustments (projection, simplification, quantization) you can change the prepublish config and run npm run prepublishOnly again.

Reference

# simplification

Removes points to reduce the file size. Set to 1e-7 by default.

# quantization

Removes information by reducing the precision of each coordinate. Set to 1e5 by default.

File Reference

# districts-100k.json · Download

A TopoJSON file containing three objects: districts, provinces and departments corresponding to Perú cartographic boundary shapefiles. The geometry is quantized and simplified, but not projected.

# provinces-100k.json · Download

A TopoJSON file containing the geometry collections provinces and departments. The geometry is quantized and simplified, but not projected.

# departments-100k.json · Download

A TopoJSON file containing the geometry collection departments. The geometry is quantized and simplified, but not projected.

# pe.objects.districts

Each district has two properties:

• district.id - the six-digit UBIGEO code, such as "100902"
• district.properties.name - the district name, such as "CODO DEL POZUZO"

The first two digits of the district UBIGEO code is the UBIGEO department code.

# pe.objects.provinces

Each province has two properties:

• province.id - the four-digit province code, such as "0101"
• province.proprties.name - the province name, such as "CHACHAPOYAS"

# pe.objects.departments

The department has two properties:

• department.id - the string "01"
• department.name - the string "AMAZONAS"

Inspiration

The original idea and implementation comes from Mike Bostock’s us-atlas and world-atlas.