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Urbani izziv Volume 26, No. supplement, November 2015 : S150–S164

DOI: 10.5379/urbani-izziv-en-2015-26-supplement-010

 

   Article in PDF format

 

Author

Clemens Deilmann

Leibniz Institute of Ecological Urban and Regional Development Dresden
c.deilmann@ioer.de

Iris Lehmann

Leibniz Institute of Ecological Urban and Regional Development Dresden
i.lehmann@ioer.de

Martin Behnisch

Leibniz Institute of Ecological Urban and Regional Development Dresden
m.behnisch@ioer.de

Jörg Hennersdorf

Leibniz Institute of Ecological Urban and Regional Development Dresden
j.hennersdorf@ioer.de

Ulrich Schumacher

Leibniz Institute of Ecological Urban and Regional Development Dresden
u.schumacher@ioer.de

 

Title

A Multifactorial GIS-Based Analytical Method to Determine the Quality of Urban Green Space and Water Bodies

 

Abstract

The type, size, and spatial distribution of public green spaces and water bodies are key factors for the microclimatic quality of urban areas, particularly within densely built-up districts, where they influence the quality of life. The analytical method presented in this paper looks at entire cities in a GIS-based approach that identifies potential critical areas of the city (with regard to heat stress or the accessability of green spaces) and quantifies their size and location in relation to green space and water bodies. The advantage of this method is that analysing the urban environment can be largely automated by the use of available geo base data. This requires the application of algorithms from the field of landscape ecology to the urban environment.

 

 

 

PUBLISHER

Urbanistični inštitut RS
Urbani izziv - Editorial Board
Trnovski pristan 2, 1000 Ljubljana, SLO

  + 386 (0)1 420 13 10
  urbani.izziv@uirs.si

ISSN

Print edition: 0353-6483
Web edition: 1855-8399

INDEX

GOOGLE SCHOLAR
h5-index: 12
h5-median: 17
INDEX COPERNICUS
ICV 2018: 121,25
CLARIVATE ANALYTICS
Indeksirano v ESCI


SCOPUS ELSEVIER

SCImago Journal & Country Rank

1.2
2020CiteScore
 
84th percentile
Powered by  Scopus

SNIP (2020): 0.48
CiteScoreTracker (2021): 1.5

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