Map of Pando in CSV format

A map built from OpenStreetMap data, ready to download

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Open this place's area in the constructor and adjust everything to your needs

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Map passport

Area63 593 km²
Buildings5 493
Roads6 104 km
Points of interest332

What this map contains by default

This is how the map is built as-is — every setting can be changed in the constructor.

FormatCSV .csv
LayersRoads, Water, Greenery change
Stylestandard change
Detailoverview (auto) change
House numbersnot visible at this scale change
Points of interestnot visible at this scale change
Coordinate systemWGS 84 (auto) change
Sheet sizeauto change
Relief & gridoff change

About CSV

Map of Pando in CSV: 6 104 km of roads, 16% green areas — in the WGS 84 coordinate system, units are meters.

Which layers are in the file

This file for the selected area contains:

Geometry by layer

What the file carries

The CSV file for Pando: the whole map comes as a single file, the file is plain text and opens in any editor, all features lie in one collection, and the source layer name stays in the _layer field, the geometry is written as a WKT string in its own column, OpenStreetMap tags are kept as feature attributes.

File size

The expected size of the CSV file for Pando is about 560 KB; the exact size depends on the chosen layers and area.

Coordinate systems

WGS 84 (EPSG:4326), selectable in the wizard

Compatibility

ExcelGoogle SheetsPython (pandas)RLibreOffice CalcQGIS

Units

Meters (projected in the chosen coordinate system)

CategoryGIS
File extension.csv
TierOpen Beta

What's in Pando

5,493 buildings (100 residential, 6 commercial, 48 industrial, 1 religious), 6,104.3 km of roads, 332 points of interest, 15 landmarks.

The area covers 63,593 km², with about 0 buildings per km².

Mostly unclassified roads 3,534.1 km, tertiary roads 961.3 km, residential streets 665.8 km.

15.5% of the area is green space.

The map marks 5 parks and 7 water bodies.

Key amenities: schools — 170, hospitals — 5, pharmacies — 10.

Public transport: 3 bus stops.

Main streets: RN16: Porvenir-Chive, Camino a Mapiri, Camino Mukden-Bolpebra, Camino a Candelaria, Camino Conquista-Palestina

Landmarks: Museo Pedro Villalobos, Monumento al Cristo, Monumento a los Héroes de Bahía, Obelisco Batalla de Junín, El Siringuero

How to use CSV for Pando

  1. Select the Pando map area on the main page
  2. Choose CSV format and configure export settings
  3. Click Export and wait for processing
  4. Download the file and use in your application

Programs that open CSV

ExcelGoogle SheetsPython (pandas)RLibreOffice CalcQGIS

Other formats for Pando

All 128 formats for Pando →

CSV for nearby places

All formats for Pando