-
1
-
-
84926300024
-
Application of decision tree algorithm for classification and identification of natural minerals using SEM-EDS
-
E.Akkaş,, et al., 2015. Application of decision tree algorithm for classification and identification of natural minerals using SEM-EDS. Computers & Geosciences, 80, 38–48. doi:10.1016/j.cageo.2015.03.015
-
(2015)
Computers & Geosciences
, vol.80
, pp. 38-48
-
-
Akkaş, E.1
-
2
-
-
47949102898
-
Using neural networks and cellular automata for modelling intra-urban land-use dynamics
-
C.M.Almeida,, et al., 2008. Using neural networks and cellular automata for modelling intra-urban land-use dynamics. International Journal of Geographical Information Science, 22, 943–963. doi:10.1080/13658810701731168
-
(2008)
International Journal of Geographical Information Science
, vol.22
, pp. 943-963
-
-
Almeida, C.M.1
-
3
-
-
79958024286
-
The dimensions of global urban expansion: estimates and projections for all countries, 2000–2050
-
S.Angel,, et al., 2011. The dimensions of global urban expansion: estimates and projections for all countries, 2000–2050. Progress in Planning, 75, 53–107. doi:10.1016/j.progress.2011.04.001
-
(2011)
Progress in Planning
, vol.75
, pp. 53-107
-
-
Angel, S.1
-
4
-
-
84872761298
-
Integration of logistic regression, Markov chain and cellular automata models to simulate urban expansion
-
J.J.Arsanjani,, et al., 2013. Integration of logistic regression, Markov chain and cellular automata models to simulate urban expansion. International Journal of Applied Earth Observation and Geoinformation, 21, 265–275. doi:10.1016/j.jag.2011.12.014
-
(2013)
International Journal of Applied Earth Observation and Geoinformation
, vol.21
, pp. 265-275
-
-
Arsanjani, J.J.1
-
5
-
-
84924033451
-
Selecting model scenarios of real hydrodynamic forcings on mesotidal and macrotidal estuaries influenced by river discharges using K-means clustering
-
J.F.Bárcena,, et al., 2015. Selecting model scenarios of real hydrodynamic forcings on mesotidal and macrotidal estuaries influenced by river discharges using K-means clustering. Environmental Modelling & Software, 68 (2015), 70–82. doi:10.1016/j.envsoft.2015.02.007
-
(2015)
Environmental Modelling & Software
, vol.68
, Issue.2015
, pp. 70-82
-
-
Bárcena, J.F.1
-
6
-
-
1242298744
-
Modelling future urban scenarios in developing countries: an application case study in Lagos, Nigeria
-
J.I.Barredo,, et al., 2004. Modelling future urban scenarios in developing countries: an application case study in Lagos, Nigeria. Environment and Planning B: Planning and Design, 31 (1), 65–84. doi:10.1068/b29103
-
(2004)
Environment and Planning B: Planning and Design
, vol.31
, Issue.1
, pp. 65-84
-
-
Barredo, J.I.1
-
7
-
-
84926370362
-
A new discovery of transition rules for cellular automata by using cuckoo search algorithm
-
M.Cao,, et al., 2015. A new discovery of transition rules for cellular automata by using cuckoo search algorithm. International Journal of Geographical Information Science, 29 (5), 1–19. doi:10.1016/j.ins.2014.08.033
-
(2015)
International Journal of Geographical Information Science
, pp. 1-19
-
-
Cao, M.1
-
8
-
-
84880948300
-
A cellular automata model for simulating the evolution of positive–negative terrains in a small loess watershed
-
M.Cao,, et al., 2013. A cellular automata model for simulating the evolution of positive–negative terrains in a small loess watershed. International Journal of Geographical Information Science, 27 (7), 1349–1363. doi:10.1080/13658816.2012.756882
-
(2013)
International Journal of Geographical Information Science
, vol.27
, Issue.7
, pp. 1349-1363
-
-
Cao, M.1
-
9
-
-
84912564164
-
An agent-integrated irregular automata model of urban land-use dynamics
-
K.R.Dahal, and T.E.Chow,, 2014. An agent-integrated irregular automata model of urban land-use dynamics. International Journal of Geographical Information Science, 28 (11), 2281–2303. doi:10.1080/13658816.2014.917646
-
(2014)
International Journal of Geographical Information Science
, vol.28
, Issue.11
, pp. 2281-2303
-
-
Dahal, K.R.1
Chow, T.E.2
-
10
-
-
84929842410
-
Characterization of neighborhood sensitivity of an irregular cellular automata model of urban growth
-
K.R.Dahal, and T.E.Chow,, 2015. Characterization of neighborhood sensitivity of an irregular cellular automata model of urban growth. International Journal of Geographical Information Science, 29 (3), 1–23.
-
(2015)
International Journal of Geographical Information Science
, pp. 1-23
-
-
Dahal, K.R.1
Chow, T.E.2
-
11
-
-
84875942679
-
A heuristic cellular automata approach for modelling urban land-use change based on simulated annealing
-
Y.Feng, and Y.Liu,, 2013. A heuristic cellular automata approach for modelling urban land-use change based on simulated annealing. International Journal of Geographical Information Science, 27 (3), 449–466. doi:10.1080/13658816.2012.695377
-
(2013)
International Journal of Geographical Information Science
, vol.27
, Issue.3
, pp. 449-466
-
-
Feng, Y.1
Liu, Y.2
-
12
-
-
0344972104
-
Decision tree classification of land cover from remotely sensed data
-
M.A.Friedl, and C.E.Brodley,, 1997. Decision tree classification of land cover from remotely sensed data. Remote Sensing of Environment, 61, 399–409. doi:10.1016/S0034-4257(97)00049-7
-
(1997)
Remote Sensing of Environment
, vol.61
, pp. 399-409
-
-
Friedl, M.A.1
Brodley, C.E.2
-
13
-
-
84884280338
-
Calibration of an urban cellular automaton model by using statistical techniques and a genetic algorithm. Application to a small urban settlement of NW Spain
-
A.M.García,, et al., 2013. Calibration of an urban cellular automaton model by using statistical techniques and a genetic algorithm. Application to a small urban settlement of NW Spain. International Journal of Geographical Information Science, 27 (8), 1593–1611. doi:10.1080/13658816.2012.762454
-
(2013)
International Journal of Geographical Information Science
, vol.27
, Issue.8
, pp. 1593-1611
-
-
García, A.M.1
-
14
-
-
66349131248
-
Land-use-change modeling using unbalanced support-vector machines
-
B.Huang,, et al., 2009. Land-use-change modeling using unbalanced support-vector machines. Environment and Planning B: Planning and Design, 36, 398–416. doi:10.1068/b33047
-
(2009)
Environment and Planning B: Planning and Design
, vol.36
, pp. 398-416
-
-
Huang, B.1
-
15
-
-
33646543295
-
Are European cities becoming dispersed? A comparative analysis of 15 European urban areas
-
M.Kasanko,, et al., 2006. Are European cities becoming dispersed? A comparative analysis of 15 European urban areas. Landscape andUrban Planning, 77 (1–2), 111–130. doi:10.1016/j.landurbplan.2005.02.003
-
(2006)
Landscape andUrban Planning
, vol.77
, Issue.1-2
, pp. 111-130
-
-
Kasanko, M.1
-
16
-
-
84885955329
-
Knowledge transfer and adaptation for land-use simulation with a logistic cellular automaton
-
X.Li,, et al., 2013. Knowledge transfer and adaptation for land-use simulation with a logistic cellular automaton. International Journal of Geographical Information Science, 27 (10), 1829–1848. doi:10.1080/13658816.2013.825264
-
(2013)
International Journal of Geographical Information Science
, vol.27
, Issue.10
, pp. 1829-1848
-
-
Li, X.1
-
17
-
-
9744232197
-
Data mining of cellular automata’s transition rules
-
X.Li, and A.G.Yeh,, 2004. Data mining of cellular automata’s transition rules. International Journal of Geographical Information Science, 18 (8), 723–744. doi:10.1080/13658810410001705325
-
(2004)
International Journal of Geographical Information Science
, vol.18
, Issue.8
, pp. 723-744
-
-
Li, X.1
Yeh, A.G.2
-
18
-
-
0036332937
-
Neural-network-based cellular automata for simulating multiple land use changes using GIS
-
X.Li, and A.G.O.Yeh,, 2002. Neural-network-based cellular automata for simulating multiple land use changes using GIS. International Journal of Geographical Information Science, 16, 323–343. doi:10.1080/13658810210137004
-
(2002)
International Journal of Geographical Information Science
, vol.16
, pp. 323-343
-
-
Li, X.1
Yeh, A.G.O.2
-
19
-
-
84866675648
-
Assimilating process context information of cellular automata into change detection for monitoring land use changes
-
X.Li,, et al., 2012. Assimilating process context information of cellular automata into change detection for monitoring land use changes. International Journal of Geographical Information Science, 26 (9), 1667–1687. doi:10.1080/13658816.2011.643803
-
(2012)
International Journal of Geographical Information Science
, vol.26
, Issue.9
, pp. 1667-1687
-
-
Li, X.1
-
20
-
-
84894247906
-
A neighbor decay cellular automata approach for simulating urban expansion based on particle swarm intelligence
-
J.Liao,, et al., 2014. A neighbor decay cellular automata approach for simulating urban expansion based on particle swarm intelligence. International Journal of Geographical Information Science, 28 (4), 720–738. doi:10.1080/13658816.2013.869820
-
(2014)
International Journal of Geographical Information Science
, vol.28
, Issue.4
, pp. 720-738
-
-
Liao, J.1
-
21
-
-
2342439040
-
Spatial pattern analysis of China’s recent land-use change
-
J.Liu,, M.Liu,, and D.Zhuang,, 2010a. Spatial pattern analysis of China’s recent land-use change. Chinese Science, 32, 1031–1040.
-
(2010)
Chinese Science
, vol.32
, pp. 1031-1040
-
-
Liu, J.1
Liu, M.2
Zhuang, D.3
-
22
-
-
77953352308
-
Spatial patterns and driving forces of land use change in China during the early 21st century
-
J.Liu,, et al., 2010b. Spatial patterns and driving forces of land use change in China during the early 21st century. Journal of Geographical Sciences, 20 (4), 483–494. doi:10.1007/s11442-010-0483-4
-
(2010)
Journal of Geographical Sciences
, vol.20
, Issue.4
, pp. 483-494
-
-
Liu, J.1
-
23
-
-
37549036730
-
Simulating complex urban development using kernel-based non-linear cellular automata
-
X.Liu,, et al., 2008. Simulating complex urban development using kernel-based non-linear cellular automata. Ecological Modelling, 211, 169–181. doi:10.1016/j.ecolmodel.2007.08.024
-
(2008)
Ecological Modelling
, vol.211
, pp. 169-181
-
-
Liu, X.1
-
24
-
-
84888035763
-
Simulating urban growth by integrating landscape expansion index (LEI) and cellular automata
-
X.Liu,, et al., 2014. Simulating urban growth by integrating landscape expansion index (LEI) and cellular automata. International Journal of Geographical Information Science, 28 (1), 148–163. doi:10.1080/13658816.2013.831097
-
(2014)
International Journal of Geographical Information Science
, vol.28
, Issue.1
, pp. 148-163
-
-
Liu, X.1
-
25
-
-
84863172229
-
Modelling sustainable urban growth in a rapidly urbanising region using a fuzzy-constrained cellular automata approach
-
Y.Liu,, 2012. Modelling sustainable urban growth in a rapidly urbanising region using a fuzzy-constrained cellular automata approach. International Journal of Geographical Information Science, 26 (1), 151–167. doi:10.1080/13658816.2011.577434
-
(2012)
International Journal of Geographical Information Science
, vol.26
, Issue.1
, pp. 151-167
-
-
Liu, Y.1
-
26
-
-
84875577395
-
Spatiotemporal urbanization processes in the megacity of Mumbai, India: A Markov chains-cellular automata urban growth model
-
H.S.Moghadam, and M.Helbich,, 2013. Spatiotemporal urbanization processes in the megacity of Mumbai, India: A Markov chains-cellular automata urban growth model. Applied Geography, 40, 140–149. doi:10.1016/j.apgeog.2013.01.009
-
(2013)
Applied Geography
, vol.40
, pp. 140-149
-
-
Moghadam, H.S.1
Helbich, M.2
-
27
-
-
85046075445
-
-
D.R.Nayak,, S.K.Sahu,, and J.Mohammed,, 2013. A cellular automata based optimal edge detection technique using twenty-five neighborhood model. International Journal of Computer Applications, 84 (10), 27–33.
-
(2013)
A cellular automata based optimal edge detection technique using twenty-five neighborhood model
-
-
Nayak, D.R.1
Sahu, S.K.2
Mohammed, J.3
-
28
-
-
84911936880
-
-
K.Perzy,, M.Sitko,, and Ł.Madej,, 2014. Numerical modelling of fracture based on coupled cellular automata finite element approach. In: J. Was, G. C. Sirakoulis, and S. Bandini, eds. Cellular automata. Krakow: Springer, 156–165.
-
(2014)
Numerical modelling of fracture based on coupled cellular automata finite element approach
-
-
Perzy, K.1
Sitko, M.2
Madej, Ł.3
-
29
-
-
36348937663
-
-
G.R.Pontius,, et al., 2008. Comparing the input, output, and validation maps for several models of land change. The Annals of Regional Science, 42 (1), 11–37. doi:10.1007/s00168-007-0138-2
-
(2008)
Comparing the input, output, and validation maps for several models of land change
-
-
Pontius, G.R.1
-
31
-
-
84867055467
-
Global forecasts of urban expansion to 2030 and direct impacts on biodiversity and carbon pools
-
K.C.Seto,, B.Guneralp,, and L.R.Hutyra,, 2012. Global forecasts of urban expansion to 2030 and direct impacts on biodiversity and carbon pools. Proceedings of the National Academy of Sciences, 109 (40), 16083–16088. doi:10.1073/pnas.1211658109
-
(2012)
Proceedings of the National Academy of Sciences
, vol.109
, Issue.40
, pp. 16083-16088
-
-
Seto, K.C.1
Guneralp, B.2
Hutyra, L.R.3
-
32
-
-
0000565591
-
A computer movie simulating urban growth in the Detroit region
-
W.R.Tobler,, 1970. A computer movie simulating urban growth in the Detroit region. Economic Geography, 46, 234–240. doi:10.2307/143141
-
(1970)
Economic Geography
, vol.46
, pp. 234-240
-
-
Tobler, W.R.1
-
33
-
-
84900536077
-
-
New York, NY: United Nations Department of Economic and Social Affairs/Population Division
-
UN. 2012. World Urbanization Prospects: The 2011 Revision Highlights. New York, NY: United Nations Department of Economic and Social Affairs/Population Division. (http://esa.un.org/unup/pdf/WUP2011_Highlights.pdf).
-
(2012)
World Urbanization Prospects: The 2011 Revision Highlights
-
-
-
34
-
-
84877908142
-
Measuring the neighbourhood effect to calibrate land use models
-
J.Van Vliet,, et al., 2013. Measuring the neighbourhood effect to calibrate land use models. Computers, Environment and Urban Systems, 41, 55–64. doi:10.1016/j.compenvurbsys.2013.03.006
-
(2013)
Computers, Environment and Urban Systems
, vol.41
, pp. 55-64
-
-
Van Vliet, J.1
-
35
-
-
58149163451
-
Modelling urban growth using a variable grid cellular automaton
-
J.Van Vliet,, R.White,, and S.Dragicevic,, 2009. Modelling urban growth using a variable grid cellular automaton. Computer Environment and Urban Systems, 33 (1), 3–43.
-
(2009)
Computer Environment and Urban Systems
, vol.33
, Issue.1
, pp. 3-43
-
-
Van Vliet, J.1
White, R.2
Dragicevic, S.3
-
37
-
-
84864698313
-
Integrated modelling of population, employment and land-use change with a multiple activity-based variable grid cellular automaton
-
R.White,, I.Uljee,, and G.Engelen,, 2012. Integrated modelling of population, employment and land-use change with a multiple activity-based variable grid cellular automaton. International Journal of Geographical Information Science, 26 (7), 1251–1280. doi:10.1080/13658816.2011.635146
-
(2012)
International Journal of Geographical Information Science
, vol.26
, Issue.7
, pp. 1251-1280
-
-
White, R.1
Uljee, I.2
Engelen, G.3
-
38
-
-
79451473787
-
Quantifying spatiotemporal patterns of urbanization: the case of the two fastest growing metropolitan regions in the United States
-
J.Wu,, et al., 2011. Quantifying spatiotemporal patterns of urbanization: the case of the two fastest growing metropolitan regions in the United States. Ecological Complexity, 8 (1), 1–8. doi:10.1016/j.ecocom.2010.03.002
-
(2011)
Ecological Complexity
, vol.8
, Issue.1
, pp. 1-8
-
-
Wu, J.1
-
39
-
-
84885949366
-
An intelligent method to discover transition rules for cellular automata using bee colony optimisation
-
J.Yang,, et al., 2013. An intelligent method to discover transition rules for cellular automata using bee colony optimisation. International Journal of Geographical Information Science, 27 (10), 1849–1864. doi:10.1080/13658816.2013.823498
-
(2013)
International Journal of Geographical Information Science
, vol.27
, Issue.10
, pp. 1849-1864
-
-
Yang, J.1
-
40
-
-
40949111342
-
Cellular automata for simulating land use changes based on support vector machines
-
Q.S.Yang,, X.Li,, and X.Shi,, 2008. Cellular automata for simulating land use changes based on support vector machines. Computers & Geosciences, 34, 592–602. doi:10.1016/j.cageo.2007.08.003
-
(2008)
Computers & Geosciences
, vol.34
, pp. 592-602
-
-
Yang, Q.S.1
Li, X.2
Shi, X.3
|