Publications

BOOKS & SPECIAL ISSUES

  1. Mooney, P., Mocnik, F., Zipf, A., Jokar Arsanjani, J., Hochmaier, H., Zahra, k. (2019) Volunteered Geographic Information: Analysis, Integration, Vision, Engagement (VGI-ALIVE), a special issue in ISPRS International Journal of Geo-Information (IJGI), ISSN: 2220-9964, MDPI.
  2. Jokar Arsanjani, J. (2017): Remote Sensing, Crowd Sensing, and Geospatial Technologies for Public Health: An Editorial. Int. J. Environ. Res. Public Health14(4), 405; doi:10.3390/ijerph14040405.
  3. Jokar Arsanjani, J., Leitner, M., Zipf, A., (2017): Crowdsourced Mapping, a special issue in Cartography and Geographic Information Science, ISSN: 1523-0406, Taylor & Francis.
  4. Sui, D., Ye, X., Jokar Arsanjani, J., (2017): Open Data and Robust & Reliable GIScience, a special issue in Data, ISSN: 2306-5729, MDPI
  5. Leitner, M., Jokar Arsanjani, J.,  (2017): Citizen Empowered Mapping, an edited book, ISBN: 978-3-319-51628-8, DOI:10.1007/978-3-319-51629-5, Springer Press.
  6. Jokar Arsanjani, J., (2017): Earth/Community Observations for Climate Change Research a special issue in ISPRS International Journal of Geo-Information (IJGI), ISSN: 2220-9964, MDPI.
  7. Jokar Arsanjani, J., Vaz, E., (2016): Earth Observation and Geoinformation Technologies for Sustainable Development a special issue in Sustainability, ISSN: 2071-1050, MDPI.
  8. Jokar Arsanjani, J., Tsou, M., (2016): Big Data for Urban Informatics and Earth Observation a special issue in ISPRS International Journal of Geo-Information (IJGI), ISSN: 2220-9964, MDPI.
  9. Jokar Arsanjani, J., Helbich, M., Tayyebi, A., Birenboin, A., (2016): Geospatial data a special issue in Data, ISSN: 2306-5729, MDPI
  10. Jokar Arsanjani, J., (2016): Remote Sensing, Crowd Sensing, and Geospatial Technologies for Public Health, a special issue in International Journal of Environmental Research and Public Health, ISSN: 1660-4601, MDPI
  11. Helbich, M., Jokar Arsanjani, J., Leitner, M., (2015): Computational Approaches for Urban Environments. ISBN:978-3-319-11468-2, Springer Press.
  12. Jokar Arsanjani, J., Zipf, A., Mooney, P., Helbich, M., (2015): OpenStreetMap in GIScience: experiences, research, applications. ISBN:978-3-319-14279-1, Springer Press.
  13. Jokar Arsanjani, J., (2012): Dynamic Land Use/Cover Change Simulation: Geosimulation and Agent-based Modelling, Springer Publication, ISBN: 978-3-642-23704-1.

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BOOK CHAPTERS

  1. Jokar Arsanjani J., Vázquez R.L. (2020) Exploring the Potential Socio-economic and Physical Factors Causing Historical Wildfires in the Western USA. In: Vaz E. (eds) Regional Intelligence. Springer, Cham
  2. Leitner, M., Jokar Arsanjani, J., (2017): An introduction to Citizen Empowered Mapping in Leitner, M., Jokar Arsanjani, J., (eds), Citizen Empowered Mapping.
  3. See, L., Estima, J., Pődör, A., Jokar Arsanjani, J., Laso Bayas, J., Vatseva, R., (2017). Sources of VGI for Mapping. in Foody, G., et al., Mapping and the Citizen Sensor.
  4. Fonte C., Antoniou, V., Bastian, L., Estima, J., Jokar Arsanjani, J., Laso Bayas, J., See, L., Vatseva, R., (2017). Assessing VGI Data Quality in Foody, G., et al., Mapping and the Citizen Sensor.
  5. Minghini, M., Antoniou, V., Fonte C., Estima, J., Olteanu-Raimond, A., See, L., Laakso, M., Skopeliti, A., Mooney, P., Jokar Arsanjani, J., Lupia, F., (2017). The Relevance of Protocols for VGI Collection in Foody, G., et al., Mapping and the Citizen Sensor.
  6. Jokar Arsanjani, J and Fonte, C C. (2016). On the Contribution of Volunteered Geographic Information to Land Monitoring Efforts. In: Capineri, C, Haklay, M, Huang, H, Antoniou, V, Kettunen, J, Ostermann, F and Purves, R (eds.) European Handbook of Crowdsourced Geographic Information, Pp. 269–284. London: Ubiquity Press. DOI: http://dx.doi.org/10.5334/bax.
  7. Jokar Arsanjani, J., Mooney, P., Zipf, A., Schauss, A., (2015): Quality assessment of the contributed land use information from OpenStreetMap versus authoritative datasets. In: Jokar Arsanjani, J., Zipf, A., Mooney, P., Helbich, M., OpenStreetMap in GIScience: experiences, research, applications. ISBN:978-3-319-14279-1, PP. 37-58, Springer Press.
  8. Jokar Arsanjani, J., Zipf, A., Mooney, P., Helbich, M., (2015): An introduction to OpenStreetMap in GIScience: Experiences, Research, Applications. In: Jokar Arsanjani, J., Zipf, A., Mooney, P., Helbich, M., OpenStreetMap in GIScience: experiences, research, applications. ISBN:978-3-319-14279-1, PP. 1-15, Springer Press.
  9. Helbich, M., Jokar Arsanjani, J., & Leitner, M. (2015). Computational Approaches for Urban Environments: An Editorial. In M. Helbich, J. Jokar Arsanjani, & M. Leitner (Eds.), Computational Approaches for Urban Environments SE – 1 (Vol. 13, pp. 1–9). Springer International Publishing. doi:10.1007/978-3-319-11469-9_1.
  10. Bakillah, M., Lauer, J., Liang, S., Zipf, A., Jokar Arsanjani, J., Loos, L., Mobasheri, A., (2014): Exploiting Big VGI to Improve Routing and Navigation Services, a book chapter in Karimi H, Big Data Techniques and Technologies in Geoinformatics, pp. 177–192,  ISBN: 978-1-4665-8651-2, DOI: 10.1201/b16524-10.
  11. Sester, M., Jokar Arsanjani, J., Klammer, R., Burghardt, D., & Haunert, J.-H. (2014). Integrating and Generalising Volunteered Geographic Information. In D. Burghardt, C. Duchêne, & W. Mackaness (Eds.), Abstracting Geographic Information in a Data Rich World SE – 5 (pp. 119–155). Springer International Publishing. doi:10.1007/978-3-319-00203-3_5.

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JOURNAL PAPERS

  1. Firozjaei, M. K., Kiavarz, M., Homaee, M., Jokar Arsanjani, J., & Alavipanah, S. K. (2020). A novel method to quantify urban surface ecological poorness zone: A case study of several European cities. Science of The Total Environment, 143755. https://doi.org/https://doi.org/10.1016/j.scitotenv.2020.143755
  2. Qureshi, S.; Shorabeh, S.N.; Samany, N.N.; Minaei, F.; Homaee, M.; Nickravesh, F.; Firozjaei, M.K.; Jokar Arsanjani, J. A New Integrated Approach for Municipal Landfill Siting Based on Urban Physical Growth Prediction: A Case Study Mashhad Metropolis in Iran. Remote Sens. 2021, 13, 949. https://doi.org/10.3390/rs13050949
  3. Firozjaei, M. K., Kiavarz, M., Jokar Arsanjani, J., & Alavipanah, S. K. (2021), Modeling the impact of the COVID-19 lockdowns ‎on urban surface ecological status: A Case Study of Milan and Wuhan cities, Journal of Environmental Management, pp: pending
  4. Sulova, A., Jokar Arsanjani, J., (2020): Exploratory Analysis of driving force of Wildfires in Australia through machine learning in Google Earth Engine, Remote Sensing
  5. Hass, F.S.; Jokar Arsanjani, J. (2020) Deep Learning for Detecting and Classifying Ocean Objects: Application of YoloV3 for Iceberg–Ship Discrimination. ISPRS Int. J. Geo-Inf. 9, 758.
  6. Firozjaei, M.K., Kiavarz, M., Homaee, M., Jokar Arsanjani, J.,Alavipanah, S.K., (2020): A novel method to quantify urban surface ecological poorness zone: A case study of several European cities, Science of The Total Environment, DOI: 10.1016/j.scitotenv.2020.143755.
  7. Mosebo Fernandes, A.C., Quintero Gonzalez, R., Lenihan-Clarke, MA., Leslie Trotter, E.F., Jokar Arsanjani, J. (2020): Machine Learning for Conservation Planning in a Changing Climate, Sustainability. 
  8. Jensen, T., Hass, F.S., Akbar, M.S., Petersen, P.H., Jokar Arsanjani, J. (2020) :Employing machine learning for detection of invasive species using Sentinel-2 and AVIRIS data: The case of Kudzu in the United States, Sustainability
  9. Mijani, N,  Alavipanah, S.K., Karimi Firozjaei, M., Jokar Arsanjani, J. Hamzeh, S., Weng, Q. (2020): “Modeling Outdoor Thermal Comfort Using Satellite Imagery: A Principle Component Analysis-Based Approach.” Ecological Indicators 117: 106555. https://doi.org/https://doi.org/10.1016/j.ecolind.2020.106555.
  10. Nadizadeh, S., Karimi Firozjaei, M., Hamzeh, S., Firozjaee, Jokar Arsanjani, J., (2020): Modelling the intensity of surface urban heat island and predicting the emerging patterns: Landsat multi-temporal images and Tehran as case study, International Journal of remote sensing, pp. pending
  11. Christensen, M., Jokar Arsanjani, J., (2020): Stimulating sustainable development goals’ implementation and conservation action: Predicting future land use/cover change in the Virunga national park, Congo, Sustainability, 12, 1570.
  12. Vaz, E., Ross Shaker, R., D. Cusimano, M., Loures, L., Jokar Arsanjani, J., (2020) Does Land Use and Landscape Contribute to Self-Harm? A Sustainability Cities Framework, Data, 5(1), 9; https://doi.org/10.3390/data5010009.
  13. Koohpayma, J., Tahooni, A., Jelokhni, M., Jokar Arsanjani, J., (2019): Spatial analysis of curb-park violations and their relationship with points of interest: a case study of Tehran, Iran,,Sustainability.
  14. Karimi Firozjaei, M., Fathololoumi, S., Kiavarz, M., Jokar Arsanjani, J., Alavipanah, S.K., (2020): Modelling surface heat island intensity according to differences of biophysical characteristics: A Case Study of Amol City, Iran, Ecological Indicators, pp. pending
  15. Ghaffarian, S., Kerle, N., Pasolli, E., Jokar Arsanjani, J., (2019) Post-Disaster Building Database Updating Using Automated Deep Learning: An Integration of Pre-Disaster OpenStreetMap and Multi-Temporal Satellite Data, Remote Sensing. pp. pending.
  16. Argany, M., Sedighi, A., Jokar Arsanjani, J., Karimi Firozjaei, M., Jelokhan-Niaraki, M., (2019): A geographical direction-based approach for capturing the local variation of urban expansion in the application of CA-Markov model, Cities, 93, pp. 120-135.
  17. Christensen, M., Geograti, M., Jokar Arsanjani, J., (2019): A risk-based approach for determining the future potential of commercial shipping in the Arctic, Journal of Marine Engineering & Technology, DOI: 10.1080/20464177.2019.1672419.
  18. Mijani, N.., Alavipanah, SK., Hamzeh, S., Karimi Firozjaei, M., Jokar Arsanjani, J., (2019): Modeling thermal comfort in different condition of mind using satellite images: an Ordered Weighted Averaging approach and a case study, Ecological Indicators, 104, pp. 1-12.
  19. Mousivand, A., Jokar Arsanjani, J., (2019): Insights on the historical and emerging global land cover changes: the case of ESA-CCI-LC datasets, Applied Geography.
  20. Ballatore, A., Jokar Arsanjani, J. (2019): Placing Wikimapia: An exploratory analysis, International Journal of Geographical Information Science, 33:8, pp. 1633-1650, DOI: 10.1080/13658816.2018.1463441
  21. Jokar Arsanjani, J. (2019): Characterizing and monitoring global landscapes using GlobeLand30 datasets: the first decade of 21st century, International Journal of Digital Earth, 12:6, 642-660, DOI: 10.1080/17538947.2018.1470689.
  22. Nasiri A, Ali Abbaspour R, Chehreghan A, Jokar Arsanjani J. (2018): Improving the Quality of Citizen Contributed Geodata through Their Historical Contributions: The Case of the Road Network in OpenStreetMap. ISPRS Int J Geo-Information, 7(7).
  23. Jokar Arsanjani, J. (2018). Characterizing, monitoring, and simulating land cover dynamics using GlobeLand30: A case study from 2000 to 2030. Journal of Environmental Management, 214, pp. 66-75. https://doi.org/10.1016/j.jenvman.2018.02.090

  24. Jokar Arsanjani, J., Fibæk, C., Vaz, E., (2018): Development of a cellular automata model using open source technologies for monitoring urbanisation in the global south: the case of Maputo, Mozambique, Habitat International, PP: pending
  25. Vaz, E., Taubenböck, H., Kotha M., Arsanjani, J., (2017): Urban change in Goa, India, Habitat International, http://dx.doi.org/10.1016/j.habitatint.2017.07.010 0.
  26. Jokar Arsanjani, J., Vaz, E., (2017): Special Issue Editorial: Earth Observation and Geoinformation Technologies for Sustainable Development, Sustainability, 9(5), 760; doi:10.3390/su9050760

  27. Hachmann, S., Jokar Arsanjani, J., Vaz, E., (2018): Spatial data for slum upgrading: Volunteered Geographic Information and the role of Citizen Science, Habitat International, Doi: https://doi.org/10.1016/j.habitatint.2017.04.011.

  28. Jokar Arsanjani, J. (2017): Remote Sensing, Crowd Sensing, and Geospatial Technologies for Public Health: An Editorial. Int. J. Environ. Res. Public Health, 14, 405, doi:10.3390/ijerph14040405.

  29. Jokar Arsanjani j., Leitner, M., Zipf, A., (2017): Crowdsourced Mapping: an editorial in Cartography and Geographic Information Science (CaGIS), doi: 10.1080/15230406.2017.1260241.

  30. Geiß, C., Schauß, A., Riedlinger, T., Dech, S., Zelaya, C., Guzman, N., Hube, M., Jokar Arsanjani, J., Taubenböck, H., (2017): Joint Use of Remote Sensing Data and Volunteered Geographic Information for Exposure Estimation – Evidence from Valparaíso, Chile, Natural Hazards, 86(1), pp. 81-105, DOI: 10.1007/s11069-016-2663-8.

  31. Tayyebi, A., Jokar Arsanjani, J., Tayyebi, A., Omrani, H., (2016): Group-based Crop Change Planning: Application of SmartScapeTM Spatial Decision Support System for Resolving Conflicts, Ecological Modelling Journal, 333, pp. 92-100, doi:10.1016/j.ecolmodel.2016.04.018

  32. Antoniou, V., Fonte, C., See, L., Estima, J., Jokar Arsanjani, J., Lupia, F., Minghini, M., Foody, G., Fritz, S., (2016): Investigating the Feasibility of Geo-tagged Photographs as Sources of Land Cover Data, ISPRS International Journal of Geoinformation, 5(5), 64; doi:10.3390/ijgi5050064.

  33. Juhász, L., Rousell, A., Jokar Arsanjani, J., (2016): Technical guidelines to extract and analyze VGI from different platforms, Data Journal, 1(3), 15; doi:10.3390/data1030015.

  34. Tayyebi, A., Tayyebi, A., Jokar Arsanjani, J., Omrani, H., Moghaddam, H., (2016):FSAUA: A framework for sensitivity analysis and uncertainty assessment in historical and forecasted land use maps, Environmental Modeling and Software journal. 84, pp.70-84. doi:10.1016/j.envsoft.2016.06.018

  35. Jokar Arsanjani, J., See, L., Tayyebi, A., (2016): Assessing the suitability of GlobeLand30 for mapping land cover in Germany, International Journal of Digital Earth, DOI:10.1080/17538947.2016.1151956.

  36. Jokar Arsanjani, J.,  (2016): A New Platform for Data Research. Journal Data; 1(1),9-10. DOI:10.3390/data1010009.

  37. Tayyebi, A., Tayyebi, A., Vaz, E., Jokar Arsanjani, J.,  Helbich, M., (2016): Analyzing crop change scenario with the SmartScapeTM spatial decision support system, Land Use Policy (51), pp. 41-53, doi:http://dx.doi.org/10.1016/j.landusepol.2015.11.002.

  38. Jokar Arsanjani, J., Tayyebi, A., Vaz, E., (2016): GlobeLand30 as an alternative fine-scale global land cover map: Challenges, possibilities, and implications for developing countries, Habitat International, doi: 10.1016/j.habitatint.2016.02.003.

  39. Jokar T., Javidan, R., Nazemosadat, M.R., Jokar Arsanjani, J., Vaz, E., (2015): Spatiotemporal monitoring of Bakhtegan Lake’s areal fluctuations and an exploration of its future status by applying a cellular automata model, Computers and Geosciences, 78, 37-43, doi:10.1016/j.cageo.2015.02.004

  40. Jokar Arsanjani, J., Mooney, P., Helbich, M., Zipf, A., (2015): An exploration of future patterns of the contributions to OpenStreetMap and development of a Contribution Index, Transactions in GIS, 19(6), 896–914.

  41. Jokar Arsanjani, J. & Vaz, E. (2015): An assessment of a collaborative mapping approach for exploring land use patterns for several European metropolises. International Journal of Applied Earth Observation and Geoinformation, DOI: 10.1016/j.jag.2014.09.009

  42. Vaz, E. & Jokar Arsanjani, J. (2015): Predicting Urban Growth of the Greater Toronto Area – Coupling a Markov Cellular Automata with document meta-analysis. Journal of Environmental Informatics, 25(2), 71-80, doi:10.3808/jei.201500299.

  43. Jokar Arsanjani, J., Bakillah, M.,(2015): Understanding the potential relationship between the socio-economic variables and contributions to OpenStreetMap. International Journal of Digital Earth, 8 (11), 861-876, DOI: 10.1080/17538947.2014.951081.

  44. Vaz, E., Jokar Arsanjani, J. (2015): Crowd sourced mapping of land use in urban dense environments: An assessment of Toronto. The Canadian Geographer Journal, 59(2), pp. 246–255, DOI: 10.1111/cag.12170

  45. Bakillah, M., Liang, S. H. L., Mobasheri, A., Jokar Arsanjani, J., Zipf, A., (2014): Fine resolution population mapping using OpenStreetMap points-of-interest. International Journal of Geographical Information Science (IJGIS), 28(9), pp. 1940-1963, DOI: 10.1080/13658816.2014.909045.

  46. Helbich, M., Jokar Arsanjani, J., (2015): Eigenvector Spatial Filtering for Spatiotemporal Crime Mapping and Spatial Crime Analysis. Journal of Cartography and Geographic Information Science, 42(2), pp.134-148. DOI: 10.1080/15230406.2014.893839

  47. Jokar Arsanjani, J., Helbich, M., Bakillah, M., Loos, L., (2015). The emergence and evolution of OpenStreetMap: A cellular automata approach. International Journal of Digital Earth. 8(1), 76-90. doi:10.1080/17538947.2013.847125

  48. Jokar Arsanjani, J., Helbich, M., Bakillah, M., Hagenauer, J., & Zipf, A. (2013). Toward mapping land-use patterns from volunteered geographic information. International Journal of Geographical Information Science, 2264-2278. DOI:10.1080/13658816.2013.800871.

  49. Jokar Arsanjani, J., Helbich, M., Vaz, E., (2013): Spatiotemporal Simulation of Urban growth patterns using agent-based modeling: The case of Tehran. Cities 32; 33-42.

  50. Jokar Arsanjani, J., Helbich, M., Mousivand, AJ. (2014): A Morphological Approach to Predicting Urban Expansion, Transactions in GIS.18(2), pp. 219-233, DOI: 10.1111/tgis.12031.

  51. Jokar Arsanjani J, Helbich M, Kainz W, Darvishi B. A (2013): Integration of Logistic Regression and Markov Chain Models to Simulate Urban Expansion, International Journal of Applied Earth Observation and Geoinformation (21), pp. 265-275.

  52. Bakillah, M., Liang, S.H., Zipf, A., Jokar Arsanjani, J. (2013) Semantic Interoperability of Sensor Data with Volunteered Geographic Information: A Unified Model. ISPRS Int. J. Geo-Information, 2, 766-796.

  53. Bakillah, M.; M. A. Mostafavi; S.H.L. Liang; A. Zipf, Jokar Arsanjani J., (2012): Fuzzy Query Propagation in Sensor Networks. International Journal On Advances in Intelligent Systems, v5 n3&4 2012.

  54. Jokar Arsanjani J, Kainz W, Mousivand AJ (2011): Tracking Dynamic Land Use Change Using Spatially Explicit Markov Chain Based on Cellular Automata- the Case of Tehran, International Journal of Image and Data Fusion, Volume 2, Issue 4.

  55. von Reumont F, Jokar Arsanjani J, Riedl A (2013): Visualisation of geospatial geologic datasets through X3D software: an experiment for WebGIS representation, International Journal of Digital Earth, 6(5), pp. 483-503.

  56. Darvishi Boloorani A , Rashidian A , Jokar Arsanjani J , Shaygan M. (2012) A review of the developed Approaches of Remote Sensing and GIScience in Health System (Part I: A Literature Review). Hakim Journal, 15 (2) :87-100

  57. Mobasheri, M. R., M. Chahardoli, J. Jokar Arsanjani, and M. Farajzadeh. (2008). Sugarcane Phenological Date Estimation Using Broad-Band Digital Cameras. American Journal of Agricultural and Biological Science 3(2):468–75.

  58. Mobasheri, M. R., J. Jokar Arsanjani, P. Ziaeian, and M. Chardoli. (2007). On the Methods of Sugarcane Water Stress Detection Using Terra/Aster Images. American-Eurasian Journal of Agricultural & Environmental Sciences 2(6).

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CONFERENCE PAPERS

  1. Jokar Arsanjani J., (2016): GlobeLand30 as an alternative fine-scale global land cover map: challenges, possibilities, and implications for developing countries, XXIII ISPRS Congress 2016, Prague, Czech Republic.
  2. Jokar Arsanjani J., (2016): On the suitability of GlobeLand30 for mapping European landscapes: The case of Germany, XXIII ISPRS Congress 2016, Prague, Czech Republic.
  3. Jokar Arsanjani J., See L., Milcinski G., Fonte C., Bastin L., Estima J., Lupia F., Fritz S. (2015): Assessment of the added value of OpenStreetMap for land cover / land use mapping, ISRSE 2015, Berlin, Germany.
  4. Bakillah, M., Mobasheri, A., Rousell, A., Hahmann, S., Jokar Arsanjani, J., Liang, S.H.L. (2015). Toward a collective tagging Android application for gathering accessibility-related geospatial data in European cities. In proceedings of the 18th AGILE conference, 9-12 June 2015, Lisbon, Portugal.
  5. Jokar Arsanjani, J., Zipf, A., Mooney, P., Helbich, M. (2015). The contribution of OpenStreetMap to GIScience, Association of American Geographers (AAG), Chicago, USA.
  6. Jokar Arsanjani, J., (2015). On contribution of Volunteered Geographic Information to land monitoring efforts, Association of American Geographers (AAG), Chicago, USA.
  7. Jokar Arsanjani, J., (2015). Towards a digital earth through integration of citizen-based sensing and remote sensing in collecting geoinformation of terrestrial objects, 36th International Symposium on Remote Sensing of Environment (ISRSE-36), Berlin, Germany
  8. Jokar Arsanjani, J., Vaz, E., Bakillah, M., Mooney, P., (2014). Towards initiating OpenLandMap founded on citizens’ science: The current status of land use features of OpenStreetMap in Europe, in proceedings of the 17th AGILE conference, Castellon, Spain.
  9. Ebadi, M., Jokar Arsanjani, J., (2014). Crowdsourced-based mapping of historical west-to-east routes from the textual accounts of European travelers, in proceedings of the 17th AGILE conference, Castellon, Spain.
  10. Jokar Arsanjani, J., Vaz, E., (2014). Bringing citizen science into mapping global landscapes, in Proceedings of the First IMASS conference, Olhao, Portugal
  11. Helbich M, Jokar Arsanjani J, Leitner M, (2013): Driving Forces of Non-Violent Crimes in Houston, TX: A Spatially Filtered Negative Binomial Model. In Jekel T, Car A, Strobl J and Griesebner G: Geospatial Crossroads. GI_Forum ’13. Proceedings of the Geoinformatics Forum Salzburg. Wichmann: Heidelberg, pp. 117-126.
  12. Jokar Arsanjani J, Helbich M, Bakillah M, (2013): Exploiting Volunteered Geographic Information to Ease Land Use Mapping of an Urban Landscape, in proceedings of Urban Data Management Society 2013 conference, London.
  13. Jokar Arsanjani J, Barron C, Bakillah M, Helbich M, (2013): Assessing the Quality of OpenStreetMap Contributors together with their Contributions, in Proceedings of the 16th AGILE conference, Leuven, Belgium.
  14. Jokar Arsanjani J, Loos L C, Helbich M, Bakillah M, (2013): Individuals’ contribution to cells: a cellular automata approach for simulation of collaboratively mapped areas, in Proceedings of the 16th AGILE conference, Leuven, Belgium.
  15. Jokar Arsanjani, J., Helbich, M., Bakillah, M., (2013): Mapping Land Use Features from OpenStreetMap Contributions, GI_Forum conference 2013, Salzburg, Austria.
  16. Helbich M, Jokar Arsanjani J (2012): Does Suburbia impact House Prices? An Empirical Evidence from the Metropolitan Area of Vienna, American Association of Geographers 2012, New York, USA.
  17. Jokar Arsanjani J, Kainz W (2011): Integration of Spatial Agents and Markov Chain Model in Simulation of Urban Sprawl, in Proceedings of AGILE conference 2011, Utrecht, the Netherlands.
  18. Jokar Arsanjani J, Kainz W, Azadbakht M (2011): Monitoring and Geospatially Explicit Simulation of Land Use Dynamics from Cellular Automata towards Geosimulation- Case Study Tehran, Iran, In Proceedings of ISDIF 2011, China.
  19. Jokar Arsanjani, J., Mousivand, A., Komaki, C.B., (2009): Risk warning and crisis management for dust storm effects on western border of Iran, in Proceeding of the ISPRS symposium, Prague, 261-267, 2009.
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