Theo dõi
Jamal Jokar Arsanjani
Jamal Jokar Arsanjani
Professor for Geoinformatics and Earth Observation, Aalborg University Copenhagen
Email được xác minh tại plan.aau.dk - Trang chủ
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Năm
Integration of logistic regression, Markov chain and cellular automata models to simulate urban expansion
J Jokar Arsanjani, M Helbich, W Kainz, A Darvishi Boloorani
International Journal of Applied Earth Observation and Geoinformation 21 …, 2013
9702013
Spatiotemporal simulation of urban growth patterns using agent-based modeling: The case of Tehran
J Jokar Arsanjani, M Helbich, E de Noronha Vaz
Cities 32, 33-42, 2013
2742013
Fine-resolution population mapping using OpenStreetMap points-of-interest
M Bakillah, S Liang, A Mobasheri, J Jokar Arsanjani, A Zipf
International Journal of Geographical Information Science 28 (9), 1940-1963, 2014
2542014
Tracking dynamic land-use change using spatially explicit Markov Chain based on cellular automata: the case of Tehran
J Jokar Arsanjani, W Kainz, AJ Mousivand
International Journal of Image and Data Fusion 2 (4), 329-345, 2011
2292011
Quality assessment of the contributed land use information from OpenStreetMap versus authoritative datasets
J Jokar Arsanjani, P Mooney, A Zipf, A Schauss
OpenStreetMap in GIScience: experiences, research, applications, 2015
1752015
Data quality in citizen science
B Balázs, P Mooney, E Nováková, L Bastin, JJ Arsanjani
The science of citizen science 139 (10.1007), 978-3, 2021
1662021
An Introduction to OpenStreetMap in Geographic Information Science: Experiences, Research, and Applications
J Jokar Arsanjani, A Zipf, P Mooney, M Helbich
OpenStreetMap in GIScience: Experiences, Research, and Applications, 2015
1652015
Toward mapping land-use patterns from volunteered geographic information
J Jokar Arsanjani, M Helbich, M Bakillah, J Hagenauer, A Zipf
International Journal of Geographical Information Science 27 (12), 2264-2278, 2013
1602013
L, See, L and Vatseva, R. 2017. Assessing VGI Data Quality
CC Fonte, V Antoniou, L Bastin, J Estima, JJ Arsanjani, JC Bayas
Mapping and the Citizen Sensor, 137-163, 2017
1342017
GlobeLand30 as an alternative fine-scale global land cover map: Challenges, possibilities, and implications for developing countries
JJ Arsanjani, A Tayyebi, E Vaz
Habitat International 55, 25-31, 2016
1162016
OpenStreetMap in GIScience
JJ Arsanjani, A Zipf, P Mooney, M Helbich
Lecture notes in geoinformation and cartography, 324, 2015
1152015
Assessing the Quality of OpenStreetMap Contributors together with their Contributions
J Jokar Arsanjani, C Barron, M Bakillah, M Helbich
16th AGILE conference, Lueven, Belgium, 2013
112*2013
A geographical direction-based approach for capturing the local variation of urban expansion in the application of CA-Markov model
MK Firozjaei, A Sedighi, M Argany, M Jelokhani-Niaraki, JJ Arsanjani
Cities 93, 120-135, 2019
1022019
An assessment of a collaborative mapping approach for exploring land use patterns for several European metropolises
J Jokar Arsanjani, E Vaz
International Journal of Applied Earth Observation and Geoinformation 35 …, 2015
1012015
Mapping and the citizen sensor
C Costa Fonte, S Fritz, AM Olteanu-Raimond, V Antoniou, G Foody, ...
Ubiquity Press, 2017
942017
Predicting Urban Growth of the Greater Toronto Area – Coupling a Markov Cellular Automata with document meta-analysis
E Vaz, J Jokar Arsanjani
Journal of Environmental Informatics 25 (2), 71-80, 2015
912015
Insights on the historical and emerging global land cover changes: The case of ESA-CCI-LC datasets
A Mousivand, JJ Arsanjani
Applied Geography 106, 82-92, 2019
862019
European handbook of crowdsourced geographic information
C Capineri
Ubiquity Press, 2016
862016
Spatial data for slum upgrading: Volunteered Geographic Information and the role of citizen science
S Hachmann, JJ Arsanjani, E Vaz
Habitat international 72, 18-26, 2018
822018
Investigating the feasibility of geo-tagged photographs as sources of land cover input data
V Antoniou, CC Fonte, L See, J Estima, JJ Arsanjani, F Lupia, M Minghini, ...
ISPRS International Journal of Geo-Information 5 (5), 64, 2016
822016
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