[HTML][HTML] Estimating quality of life dimensions from urban spatial pattern metrics

M Sapena, M Wurm, H Taubenböck, D Tuia… - … , environment and urban …, 2021 - Elsevier
The spatial structure of urban areas plays a major role in the daily life of dwellers. The
current policy framework to ensure the quality of life of inhabitants leaving no one behind …

[HTML][HTML] Learning income levels and inequality from spatial and sociodemographic data in Germany

OM Garbasevschi, H Taubenböck, P Schüle, J Baarck… - Applied …, 2023 - Elsevier
This study explores the potential of predicting income inequality and income levels from
attributes of the built, natural and social environment in Germany. Furthermore, it …

Predicting priority of environmental protection over economic growth using macroeconomic and individual-level predictors: Evidence from machine learning

X Lou, Y Lin, LMW Li - Journal of Environmental Psychology, 2022 - Elsevier
Individual priority of environmental protection over economic growth is predicted by
macroeconomic contexts, demographics, and psychological processes. Corresponding …

Are public green spaces distributed fairly? A nationwide analysis based on remote sensing, OpenStreetMap and census data

M Weigand, M Wurm, A Droin, T Stark… - Geocarto …, 2023 - Taylor & Francis
Green space (GS) is a crucial resource in urban areas, but not spatially uniformly distributed.
We compare the availability of GS on a national scale using green land cover (GLC) and …

[PDF][PDF] Exploring geospatial methods of detecting rural vitality, vulnerability and versatility in rural regions in Bavaria

WT de Vries, RC Germany, LA Japan, M Poland - FIG Congress, 2022 - fig.net
Rural regions in Bavaria are under stress in emerging global crises and, in the face of rapid
changes and uncertainties, they require strategies to enhance their resilience. With the aim …

18 Assessment of Urban Patterns

V Chaturvedi, WT de Vries - Geospatial Science for Smart Land …, 2023 - books.google.com
In the past 50 years, coastal urban areas have grown extensively worldwide (Magarotto et
al., 2016). Globally, 60% of the human population and eight of the ten largest cities are now …

Assessment of Urban Patterns Using Spatial Metrics and Prediction of Urban Growth: A Case Study of Kabul, Afghanistan

V Chaturvedi, WT de Vries - Geospatial Science for Smart Land …, 2023 - taylorfrancis.com
Studying the evolution of urban patterns in data poor regions is not an easy task, and it can
immensely benefit from open access data and GIS technologies. In this chapter, we analyze …