Emphasising spatial structure in geosocial media data using spatial amplifier filtering
R Westerholt - Environment and Planning B: Urban Analytics …, 2021 - journals.sagepub.com
In this article, a new method called spatial amplifier filtering is proposed. The presented
method is related to Moran eigenvector filtering and allows the accentuation of spatial …
method is related to Moran eigenvector filtering and allows the accentuation of spatial …
Urban and Peri-Urban? Investigation of the Location of Informal Settlements Using Two Databases
Informal settlements are an integral feature of global urbanization, and their future dynamics
will impact cities' development. Current projections of informal settlements' growth estimate …
will impact cities' development. Current projections of informal settlements' growth estimate …
Settlement Dynamics and Factors Affecting Residence Selection in Population Density Settlements
MF Amrullah, EB Santosa… - Jambura Geo Education …, 2023 - ejurnal.ung.ac.id
Settlements are one of the fundamental necessities of life. The functions of settlements go far
beyond just providing a place for rest and shelter. Settlements serve as spaces where social …
beyond just providing a place for rest and shelter. Settlements serve as spaces where social …
Exploring Spatio-Temporal Pattern of Gentrification Processes in Intracity Slums in the Lagos Megacity
There have been increasing calls in gentrification studies to examine the geography of
gentrification in slums, as little is known about the patterns and processes of slum …
gentrification in slums, as little is known about the patterns and processes of slum …
Deep Learning for Slum Mapping in Remote Sensing Images: A Meta-analysis and Review
The major Sustainable Development Goals (SDG) 2030, set by the United Nations
Development Program (UNDP), include sustainable cities and communities, no poverty, and …
Development Program (UNDP), include sustainable cities and communities, no poverty, and …
Extracting urban deprivation indicators using superspectral very-high-resolution satellite imagery
Most research pertaining to mapping deprived urban areas is limited to locating and
delineating deprived area's extents within and across cities. In this work, we go beyond and …
delineating deprived area's extents within and across cities. In this work, we go beyond and …
The Unseen Population: Underestimation of Slum Dwellers in Cities of the Global South
JHP Breuer, J Friesen, H Taubenböck… - Available at SSRN …, 2022 - papers.ssrn.com
SDG 11 is to reduce poverty. Nevertheless, there are still no reliable estimates, eg on slum
populations. In this paper, a uniform approach is implemented to obtain slum population …
populations. In this paper, a uniform approach is implemented to obtain slum population …
Evaluation of a participatory approach to stratifying neighbourhoods across the Tanzanian city of Dar es Salaam in terms of income by comparing with latent profile …
Studying geographic heterogeneities in the characteristics of city neighbourhoods, such as
population income and deprivation, has been a common practice in urban health studies for …
population income and deprivation, has been a common practice in urban health studies for …
[PDF][PDF] Digitalization and urban development in the Global South: Towards reliable population data in deprived urban areas
M Kuffer - … 2020: Digitalization for Development? Challenges for …, 2020 - research.utwente.nl
According to the United Nations (UN), 90% of the population growth in the coming 30 years
will happen in Asian and African cities. Unfortunately, the capacity of most African and Asian …
will happen in Asian and African cities. Unfortunately, the capacity of most African and Asian …
Deprived Area Mapping Using a Scalable, Transferable and Open-Source Machine Learning Approach
M Owusu - 2023 - search.proquest.com
Population living in deprived areas continues to grow, highlighting the urgent need for
accurate high-resolution maps and granular statistics to plan interventions and monitor …
accurate high-resolution maps and granular statistics to plan interventions and monitor …