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 …

Urban and Peri-Urban? Investigation of the Location of Informal Settlements Using Two Databases

J Samper, M Kuffer, A Boanada-Fuchs - Urban Inequalities from Space …, 2024 - Springer
Informal settlements are an integral feature of global urbanization, and their future dynamics
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 …

Exploring Spatio-Temporal Pattern of Gentrification Processes in Intracity Slums in the Lagos Megacity

OS Obaitor, M Stellmes, T Lakes - Geographies, 2024 - mdpi.com
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 …

Deep Learning for Slum Mapping in Remote Sensing Images: A Meta-analysis and Review

A Raj, A Mitra, M Sinha - arXiv preprint arXiv:2406.08031, 2024 - arxiv.org
The major Sustainable Development Goals (SDG) 2030, set by the United Nations
Development Program (UNDP), include sustainable cities and communities, no poverty, and …

Extracting urban deprivation indicators using superspectral very-high-resolution satellite imagery

S Georganos, S Vanhuysse, Á Abascal… - … and Remote Sensing …, 2021 - ieeexplore.ieee.org
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 …

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 …

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 …

IR MSUYA, M Boudou, F Levira, I Moshi, J O'Dwyer… - medRxiv, 2024 - medrxiv.org
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 …

[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 …

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 …