[HTML][HTML] High-resolution large-scale onshore wind energy assessments: A review of potential definitions, methodologies and future research needs

R McKenna, S Pfenninger, H Heinrichs, J Schmidt… - Renewable Energy, 2022 - Elsevier
The rapid uptake of renewable energy technologies in recent decades has increased the
demand of energy researchers, policymakers and energy planners for reliable data on the …

Gridded population survey sampling: a systematic sco** review of the field and strategic research agenda

DR Thomson, DA Rhoda, AJ Tatem… - International journal of …, 2020 - Springer
Introduction In low-and middle-income countries (LMICs), household survey data are a main
source of information for planning, evaluation, and decision-making. Standard surveys are …

GANmapper: geographical data translation

AN Wu, F Biljecki - International Journal of Geographical …, 2022 - Taylor & Francis
We present a new method to create spatial data using a generative adversarial network
(GAN). Our contribution uses coarse and widely available geospatial data to create maps of …

[HTML][HTML] Analysis of OpenStreetMap data quality for selected counties in Poland in terms of sustainable development

S Borkowska, K Pokonieczny - Sustainability, 2022 - mdpi.com
One potential source of geospatial open data for monitoring sustainable development goals
(SDG) indicators is OpenStreetMap (OSM). The purpose of this paper is to provide a …

[HTML][HTML] How do contributions of organizations impact data inequality in OpenStreetMap?

A Yang, H Fan, Q Jia, M Ma, Z Zhong, J Li… - … , Environment and Urban …, 2024 - Elsevier
Despite the rapid advancement and extensive applications of online Volunteered
Geographical Information (VGI) projects such as OpenStreetMap (OSM), the persistence of …

Exploring five indicators for the quality of OpenStreetMap road networks: A case study of Québec, Canada

M Moradi, S Roche, MA Mostafavi - Geomatica, 2022 - cdnsciencepub.com
OpenStreetMap (OSM) is one of the most well-known volunteered geographic information
(VGI) projects that aims to produce a free-world map. However, there are serious concerns …

Research on multiscale OpenStreetMap in China: data quality assessment with EWM-TOPSIS and GDP modeling

C Han, B Lu, J Zheng, D Yu, S Zheng - Geo-spatial Information …, 2024 - Taylor & Francis
OpenStreetMap (OSM) is a voluntary platform designed to provide free and up-to-date
geographic data. Since OSM is based on multisource geographic data provided by the …

Urban Functional Zone Classification Using Light-Detection-and-Ranging Point Clouds, Aerial Images, and Point-of-Interest Data

Y Mo, Z Guo, R Zhong, W Song, S Cao - Remote Sensing, 2024 - mdpi.com
Urban Functional Zones (UFZs) serve as the fundamental units of cities, making the
classification and recognition of UFZs of paramount importance for urban planning and …

Coherence-Based Prediction of Multi-Temporal InSAR Measurement Availability for Infrastructure Monitoring

D Malinowska, P Milillo, K Briggs… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
Predicting the availability of measurement points provided by Multi-Temporal Interferometric
Synthetic Aperture Radar (MT-InSAR) poses a challenge due to a nonuniform distribution of …

Filling gaps of cartographic polylines by using an encoder–decoder model

W Yu, Y Chen - International Journal of Geographical Information …, 2022 - Taylor & Francis
Geospatial studies must address spatial data quality, especially in data-driven research. An
essential concern is how to fill spatial data gaps (missing data), such as for cartographic …