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De Vos J, Witlox F (2013) Transportation policy as spatial planning tool; reducing urban sprawl by
increasing travel costs and clustering infrastructure and public transportation. J Transp Geogr
33:117-125
Fischer M (2006) Spatial analysis and geocomputation. Springer, Berlin
Fujita M, Thisse J-F (2013) Economics of agglomeration: cities, industrial location, and globaliza-
tion. Cambridge University Press, Cambridge
Glaeser E (2011) Cities, productivity, and quality of Life. Science 333:592-594
Goodchild M (2010) Twenty years of progress: GIScience in 2010. J Spat Inf Sci 1:3-20
Grekousis G, Manetos P, Photis YN (2013) Modeling urban evolution using neural networks, fuzzy
logic and GIS: the case of the Athens metropolitan area. Cities 30:193-203
Gu J, Zhu M, Jiang L (2011) Housing price forecasting based on genetic algorithm and support
vector machine. Expert Syst Appl 38:3383-3386
Hagenauer J, Helbich M (2013a) Hierarchical self-organizing maps for clustering spatiotemporal
data. Int J Geogr Inf Sci 27:2026-2042
Hagenauer J, Helbich M (2013b) Contextual neural gas for spatial clustering and analysis. Int J
Geogr Inf Sci 27:251-266
Hagenauer J, Helbich M, Leitner M (2011) Visualization of crime trajectories with self-organizing
maps: a case study on evaluating the impact of hurricanes on spatio-temporal crime hotspots.
In: 25th international cartographic conference, Paris, France
Hall P (1993) Forces shaping urban Europe. Urban Stud 30:883-898
Helbich M, Leitner M (2012) Evaluation of spatial cluster detection algorithms for crime locations.
In: Gaul W, Geyer-Schulz A, Schmidt-Thieme L, Kunze J (ed) Challenges at the interface of
data analysis, computer science, and optimization. Studies in classification, data analysis, and
knowledge organization. Springer, Berlin, pp 193-201
Helbich M, Jochem A, Mücke W, Höfle B (2013a) Boosting the predictive accuracy of urban
hedonic house price models through airborne laser scanning. Comput Environ Urban Syst
39:81-92
Helbich M, Hagenauer J, Leitner M, Edwards R (2013b) Exploration of unstructured narrative
crime reports: an unsupervised neural network and point pattern analysis approach. Cartogr
Geogr Inf Sci 40:326-336
Helbich M, Brunauer W, Hagenauer J, Leitner M (2013c) Data-driven regionalization of housing
markets. Ann Assoc Am Geogr 103:871-889
Helbich M, Brunauer W, Vaz E, Nijkamp P (2014) Spatial heterogeneity in hedonic house price
models: the case of Austria. Urban Stud 51:390-411
Jokar Arsanjani J, Helbich M, Bakillah M, Hagenauer J, Zipf A (2013a) Towards mapping land
use patterns from volunteered geographic information. Int J Geogr Inf Sci 27:2264-2278
Jokar Arsanjani J, Helbich M, Vaz E (2013b) Spatiotemporal simulation of urban growth patterns
using agent-based modeling: the case of Tehran. Cities 32:33-42
Jokar Arsanjani J, Helbich M, Mousivand A (2014) A morphological approach to predicting urban
expansion. Trans GIS 18(2):219-233 (online first). doi: 10.111 1/tgis.12031
Kwan M-P, Schwanen T (2009) Quantitative revolution 2: the critical (re)turn. Prof Geogr 61:
283-291
Law J, Quick M (2013) Exploring links between juvenile offenders and social disorganization at a
large map scale: a Bayesian spatial modeling approach. J Geogr Syst 15:89-113
Lazer D et al (2009) Computational social science. Sciences 323:721-723
Leitner M, Helbich M (2011) The impact of hurricanes on crime: a spatio-temporal analysis in the
city of Houston, TX. Cartogr Geogr Inf Sci 38:214-222
Malleson N, Heppenstall A, See L (2013) Using an agent-based crime simulation to predict
the effects of urban regeneration on individual household burglary risk. Environ Plan B
40:405-426
Miller H, Goodchild M (2014) Data-driven geography. GeoJournal (online first)
Mimis A, Rovolis A, Stamou M (2013) Property valuation with artificial neural network: the case
of Athens. J Prop Res 30:128-143
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