Cellular automata in modeling and predicting urban densification: Revisiting the literature since 1971

A Chakraborty, S Sikder, H Omrani, J Teller - Land, 2022 - mdpi.com
The creation of an accurate simulation of future urban growth is considered to be one of the
most important challenges of the last five decades that involves spatial modeling within a …

Measuring access to health facilities in Ghana: Implications for implementation of health interventions and the Sustainable Development Goal 3

PI Korah, AM Nunbogu, A Ahmed - Applied Geography, 2023 - Elsevier
Spatial access to health is important for Sustainable Development Goal 3, yet most existing
studies have largely focused on the primary health care level without considering other …

Using latent semantic analysis to identify research trends in openstreetmap

SS Sehra, J Singh, HS Rai - ISPRS International Journal of Geo …, 2017 - mdpi.com
OpenStreetMap (OSM), based on collaborative map**, has become a subject of great
interest to the academic community, resulting in a considerable body of literature produced …

An introduction to OpenStreetMap in Geographic Information Science: Experiences, research, and applications

J Jokar Arsanjani, A Zipf, P Mooney… - … in GIScience: Experiences …, 2015 - Springer
Recent years have seen new ways of collecting geographic information via the crowd rather
than organizations. OpenStreetMap (OSM) is a prime example of this approach and has …

OSHDB: a framework for spatio-temporal analysis of OpenStreetMap history data

M Raifer, R Troilo, F Kowatsch, M Auer, L Loos… - Open Geospatial Data …, 2019 - Springer
OpenStreetMap (OSM) is a collaborative project collecting geographical data of the entire
world. The level of detail of OSM data and its data quality vary much across different regions …

Statistical modelling of spatial patterns of the urban heat island intensity in the urban environment of Augsburg, Germany

A Straub, K Berger, S Breitner, J Cyrys, U Geruschkat… - Urban Climate, 2019 - Elsevier
Spatial and temporal variability of meteorological variables across urban areas due to
differences in land surface characteristics is a common phenomenon. Most pronounced is …

More than bike lanes—A multifactorial index of urban bikeability

M Hardinghaus, S Nieland, M Lehne, J Weschke - Sustainability, 2021 - mdpi.com
The present study aims to deduce bikeability based on a collective understanding and
provides a methodology to operationalize its calculation based on open data. The approach …

There's no such thing as the perfect map: Quantifying bias in spatial crowd-sourcing datasets

G Quattrone, L Capra, P De Meo - … of the 18th ACM conference on …, 2015 - dl.acm.org
Crowd-sourcing has become a popular form of computer mediated collaborative work and
OpenStreetMap represents one of the most successful crowd-sourcing systems, where the …

Assessment of logical consistency in OpenStreetMap based on the spatial similarity concept

P Hashemi, R Ali Abbaspour - OpenStreetMap in GIScience: experiences …, 2015 - Springer
The growth in the number of users and the volume of information in OpenStreetMap (OSM)
indicate the success of this VGI-based project in attracting diverse sets of people from all …

Integrating and generalising volunteered geographic information

M Sester, J Jokar Arsanjani, R Klammer… - … Information in a Data …, 2014 - Springer
The availability of spatial data on the web has greatly increased through the availability of
user-generated community data and geosensor networks. The integration of such multi …