Carte de Omusati au format CSV

A map built from OpenStreetMap data, ready to download

Carte de Omusati au format CSV

Fiche de la carte

Superficie26 547 km²
Batiments1 853
Routes2 753 km
Points d'interet559

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
LayersRoutes, Batiments, Eau, Espaces verts, Points d'interet change
Stylestandard change
Detailauto change
House numbersall change
Points of interestall categories change
Coordinate systemWGS 84 (auto) change
Sheet sizeauto change
Relief & gridoff change

À propos de CSV

Map of Omusati in CSV — an export of real OpenStreetMap data for the selected area.

Text-based tabular format with coordinates in columns. A universal way to export geodata for spreadsheet analysis and data processing scripts.

Which layers are in the file

This file for the selected area contains:

Coordinate systems

WGS 84 (EPSG:4326), au choix dans l'assistant

Compatibility

ExcelGoogle SheetsPython (pandas)RLibreOffice CalcQGIS

Units

Meters (projected in the chosen coordinate system)

CatégorieSIG
Extension de fichier.csv
NiveauFree

What's in the CSV map of Omusati

1,853 buildings (41 residential, 12 commercial, 4 industrial, 7 religious), 2,753.2 km of roads, 559 points of interest, 50 landmarks.

Mostly tertiary roads 910.3 km, unclassified roads 809.6 km, primary roads 504.4 km.

Among the objects: schools — 182, places of worship — 78, sports pitches — 36.

Table with 559 points of interest and coordinates. Opens in Excel, Google Sheets, and any GIS.

Main streets: Omakange Road, Oshakati Road, Main Road, Okahao Road, Ruacana Road

Landmarks: Olifantsrus site museum, Outapi War Museum, old slauthering machinery, Ombalantu Baobab Tree, Mothers home

How to use CSV for Omusati

  1. Select the Omusati 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

Carte interactive de la zone

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