Published April 7, 2022 | Version v1
Dataset Open

Datasets used in: Modelling eye-level visibility of urban green space: Optimising city-wide point-based viewshed computations through prototyping

Authors/Creators

  • 1. Institute of Geography, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany

Description

Research data supporting our publication. Full workflows using the R programming language have been provided on GitHub. Here we provide external data that has been used for our research, as well as the resulting Viewshed Greenness Visibility Index (VGVI) raster.

Datasets

Digital Terrain Model (DTM):

Digital Surface Model (DSM):

Landuse

  • Spatial Resolution: 2 m
  • Source: Land Cover Classification 2014 - 2m LiDAR
  • Licence: Metro Vancouver
  • File name: Vancouver_LULC_2m.tif
     

VGVI map

  • Spatial Resolution: 5 m
  • Source: Resulting dataset from our analysis
  • Licence: MIT License
  • File name: vgvi_van.tif

Files

DSM_Vancouver_1m.tif

Files (3.9 GB)

Name Size
md5:ca3b71dc06c31bdeacf11cb049953cc6
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md5:aac24d705407bd57b835b785017cf270
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md5:3b9e08a99726df3761c990b5dce5822a
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md5:1dd564d37b84da6104d38307f9388739
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