-
5
-
-
0031191630
-
The use of the area under the ROC curve in the evaluation of machine learning algorithms
-
Bradley A P 1997 The use of the area under the ROC curve in the evaluation of machine learning algorithms. Pattern Recognition 30: 1145–59
-
(1997)
Pattern Recognition
, vol.30
, pp. 1145-1159
-
-
Bradley, A.P.1
-
6
-
-
33746834358
-
Identification of support vector machines for runoff modelling
-
Bray M and Han D 2004 Identification of support vector machines for runoff modelling. Journal of Hydroinformatics 6: 265–80
-
(2004)
Journal of Hydroinformatics
, vol.6
, pp. 265-280
-
-
Bray, M.1
Han, D.2
-
7
-
-
84920534844
-
-
Washington, DC, National Academies Press
-
Brown D G, Band L E, Green K O, Irwin E G, Jain E F L, Pontius Jr R G, Seto K C, Turner II B L, and Verburg P H 2013 Advancing Land Change Modeling: Opportunities and Research Requirements. Washington, DC, National Academies Press
-
(2013)
Advancing Land Change Modeling: Opportunities and Research Requirements
-
-
Brown, D.G.1
Band, L.E.2
Green, K.O.3
Irwin, E.G.4
Jain, E.F.L.5
Pontius, R.G.6
Seto, K.C.7
Turner, I.I.B.L.8
Verburg, P.H.9
-
8
-
-
16344372312
-
Spatial process and data models: Toward integration of agent-based models and GIS
-
Brown, D G, Riolo R, Robinson D T, North M, and Rand W 2005 Spatial process and data models: Toward integration of agent-based models and GIS. Journal of Geographical Systems 7: 25–47
-
(2005)
Journal of Geographical Systems
, vol.7
, pp. 25-47
-
-
Brown, D.G.1
Riolo, R.2
Robinson, D.T.3
North, M.4
Rand, W.5
-
9
-
-
84874702684
-
Cellular automata model based on machine learning methods for simulating land use change
-
Berlin, Germany
-
Charif O, Basse R-M, Omrani H, and Trigano P 2012 Cellular automata model based on machine learning methods for simulating land use change. In Proceedings of the 2012 Winter Simulation Conference, Berlin, Germany
-
(2012)
In, Proceedings of the 2012 Winter Simulation Conference
-
-
Charif, O.1
Basse, R.-M.2
Omrani, H.3
Trigano, P.4
-
10
-
-
0000750406
-
A self-modifying cellular automaton model of historical urbanization in the San Francisco Bay area
-
Clarke K C, Hoppen S, and Gaydos L 1997 A self-modifying cellular automaton model of historical urbanization in the San Francisco Bay area. Environment and Planning B 24: 247–61
-
(1997)
Environment and Planning B
, vol.24
, pp. 247-261
-
-
Clarke, K.C.1
Hoppen, S.2
Gaydos, L.3
-
13
-
-
84905219859
-
Ensemble algorithms for ecological niche modeling from presence-background and presence-only data
-
Drake J M 2014 Ensemble algorithms for ecological niche modeling from presence-background and presence-only data. Ecosphere 5(6): 16
-
(2014)
Ecosphere
, vol.5
, Issue.6
, pp. 16
-
-
Drake, J.M.1
-
14
-
-
85153227382
-
-
Esri, ArcGIS Desktop Release 10. Redlands, CA, Esri
-
Esri 2011 ArcGIS Desktop: Release 10. Redlands, CA, Esri
-
(2011)
-
-
-
15
-
-
33646023117
-
An introduction to ROC analysis
-
Fawcett, T. 2006. An introduction to ROC analysis. Pattern Recognition Letters 27: 861–74
-
(2006)
Pattern Recognition Letters
, vol.27
, pp. 861-874
-
-
Fawcett, T.1
-
16
-
-
22744457652
-
Global consequences of land use
-
Foley J A, DeFries R, Asner G P, Barford C, Bonan G, Carpenter S R, Chapin F S, Coe M T, Daily G C, and Gibbs H K 2005 Global consequences of land use. Science 309: 570–74
-
(2005)
Science
, vol.309
, pp. 570-574
-
-
Foley, J.A.1
DeFries, R.2
Asner, G.P.3
Barford, C.4
Bonan, G.5
Carpenter, S.R.6
Chapin, F.S.7
Coe, M.T.8
Daily, G.C.9
Gibbs, H.K.10
-
17
-
-
76749092270
-
The WEKA data mining software: An update
-
Hall M, Frank E, Holmes G, Pfahringer B, Reutemann P, and Witten I H 2009 The WEKA data mining software: An update. ACM SIGKDD Explorations Newsletter 11(1): 10–8
-
(2009)
ACM SIGKDD Explorations Newsletter
, vol.11
, Issue.1
, pp. 10-18
-
-
Hall, M.1
Frank, E.2
Holmes, G.3
Pfahringer, B.4
Reutemann, P.5
Witten, I.H.6
-
18
-
-
0000916783
-
Practical feature subset selection for machine learning
-
In, McDonald C, (ed), Singapore, Springer-Verlag
-
Hall, M. A., and L. A. Smith. 1998. Practical feature subset selection for machine learning. In McDonald C (ed) Computer Science '98: Proceedings of the Twenty-first Australasian Computer Science Conference ACSC'98, Perth, 4-6 February 1998. Singapore, Springer-Verlag: 181–91
-
(1998)
Computer Science '98: Proceedings of the Twenty-first Australasian Computer Science Conference ACSC'98, Perth, 4-6 February 1998
, pp. 181-191
-
-
Hall, M.A.1
Smith, L.A.2
-
19
-
-
36148984256
-
Modeling urban growth in Atlanta using logistic regression
-
Hu Z Y and Lo C P 2007 Modeling urban growth in Atlanta using logistic regression. Computers, Environment and Urban Systems 31: 667–88
-
(2007)
Computers, Environment and Urban Systems
, vol.31
, pp. 667-688
-
-
Hu, Z.Y.1
Lo, C.P.2
-
20
-
-
74349127103
-
Support Vector Machines for urban growth modeling
-
Huang B, Xie C, and Tay R 2010 Support Vector Machines for urban growth modeling. Geoinformatica 14: 83–99
-
(2010)
Geoinformatica
, vol.14
, pp. 83-99
-
-
Huang, B.1
Xie, C.2
Tay, R.3
-
21
-
-
66349131248
-
Land-use-change modeling using unbalanced support-vector machines
-
Huang B, Xie C, Tay R, and Wu B 2009 Land-use-change modeling using unbalanced support-vector machines. Environment and Planning B 36: 398–416
-
(2009)
Environment and Planning B
, vol.36
, pp. 398-416
-
-
Huang, B.1
Xie, C.2
Tay, R.3
Wu, B.4
-
22
-
-
84945913395
-
Simulating urban growth using a Random Forest-Cellular Automata (RF-CA) model
-
Kamusoko C and Gamba J 2015 Simulating urban growth using a Random Forest-Cellular Automata (RF-CA) model. ISPRS International Journal of Geo-Information 4: 447–70
-
(2015)
ISPRS International Journal of Geo-Information
, vol.4
, pp. 447-470
-
-
Kamusoko, C.1
Gamba, J.2
-
23
-
-
33746883601
-
Feature selection in data mining
-
In, Wang J, (ed), Hershey, PA, Idea Group
-
Kim Y, Street W N, and Menczer F 2003 Feature selection in data mining. In Wang J (ed) Data Mining: Opportunities and Challenges. Hershey, PA, Idea Group: 80–105
-
(2003)
Data Mining: Opportunities and Challenges
, pp. 80-105
-
-
Kim, Y.1
Street, W.N.2
Menczer, F.3
-
24
-
-
84885591662
-
Bayesian networks and agent-based modeling approach for urban land-use and population density change: A BNAS model
-
Kocabas V and Dragicevic S 2013 Bayesian networks and agent-based modeling approach for urban land-use and population density change: A BNAS model. Journal of Geographical Systems 15: 403–26
-
(2013)
Journal of Geographical Systems
, vol.15
, pp. 403-426
-
-
Kocabas, V.1
Dragicevic, S.2
-
27
-
-
84862238988
-
A novel optimization parameters of Support Vector Machines model for the land use/cover classification
-
Liu Y, Zhang B, Huang L H, and Wang L M 2012 A novel optimization parameters of Support Vector Machines model for the land use/cover classification. Journal of Food Agriculture and Environment 10: 1098–104
-
(2012)
Journal of Food Agriculture and Environment
, vol.10
, pp. 1098-1104
-
-
Liu, Y.1
Zhang, B.2
Huang, L.H.3
Wang, L.M.4
-
28
-
-
0035838970
-
Predicting land-cover and land-use change in the urban fringe: A case in Morelia city, Mexico
-
Lopez E, Bocco G, Mendoza M, and Duhau E 2001 Predicting land-cover and land-use change in the urban fringe: A case in Morelia city, Mexico. Landscape and Urban Planning 55: 271–85
-
(2001)
Landscape and Urban Planning
, vol.55
, pp. 271-285
-
-
Lopez, E.1
Bocco, G.2
Mendoza, M.3
Duhau, E.4
-
29
-
-
15544389367
-
Potential assessment of the “support vector machine” method in forecasting ambient air pollutant trends
-
Lu W Z and Wang W J 2005 Potential assessment of the “support vector machine” method in forecasting ambient air pollutant trends. Chemosphere 59: 693–701
-
(2005)
Chemosphere
, vol.59
, pp. 693-701
-
-
Lu, W.Z.1
Wang, W.J.2
-
31
-
-
0027975167
-
A Markov model of land-use change dynamics in the Niagara Region, Ontario, Canada
-
Muller M R and Middleton J 1994 A Markov model of land-use change dynamics in the Niagara Region, Ontario, Canada. Landscape Ecology 9: 151–57
-
(1994)
Landscape Ecology
, vol.9
, pp. 151-157
-
-
Muller, M.R.1
Middleton, J.2
-
32
-
-
84905435729
-
Predicting future land use change using support vector machine based GIS cellular automata: A case of Lagos, Nigeria
-
Okwuashi O, McConchie J, Nwilo P, Isong M, Eyoh A, Nwanekezie O, Eyo E, and Ekpo A D 2012 Predicting future land use change using support vector machine based GIS cellular automata: A case of Lagos, Nigeria. Journal of Sustainable Development 5: 132–39
-
(2012)
Journal of Sustainable Development
, vol.5
, pp. 132-139
-
-
Okwuashi, O.1
McConchie, J.2
Nwilo, P.3
Isong, M.4
Eyoh, A.5
Nwanekezie, O.6
Eyo, E.7
Ekpo, A.D.8
-
33
-
-
84887255560
-
Landslide susceptibility mapping based on rough set theory and support vector machines: A case of the Three Gorges area, China
-
Peng L, Niu R Q, Huang B, Wu X L, Zhao Y N, and Ye R Q 2014 Landslide susceptibility mapping based on rough set theory and support vector machines: A case of the Three Gorges area, China. Geomorphology 204: 287–301
-
(2014)
Geomorphology
, vol.204
, pp. 287-301
-
-
Peng, L.1
Niu, R.Q.2
Huang, B.3
Wu, X.L.4
Zhao, Y.N.5
Ye, R.Q.6
-
34
-
-
0036837310
-
Using neural networks and GIS to forecast land use changes: A land transformation model
-
Pijanowski B C, Brown D G, Shellito B A, and Manik G A 2002 Using neural networks and GIS to forecast land use changes: A land transformation model. Computers, Environment and Urban Systems 26: 553–75
-
(2002)
Computers, Environment and Urban Systems
, vol.26
, pp. 553-575
-
-
Pijanowski, B.C.1
Brown, D.G.2
Shellito, B.A.3
Manik, G.A.4
-
35
-
-
84928252341
-
Modeling land use and land cover changes in a vulnerable coastal region using artificial neural networks and cellular automata
-
Qiang Y and Lam N S N 2015 Modeling land use and land cover changes in a vulnerable coastal region using artificial neural networks and cellular automata. Environmental Monitoring and Assessment 187(3): 16
-
(2015)
Environmental Monitoring and Assessment
, vol.187
, Issue.3
, pp. 16
-
-
Qiang, Y.1
Lam, N.S.N.2
-
36
-
-
84909587130
-
Supporting SLEUTH: Enhancing a cellular automaton with support vector machines for urban growth modeling
-
Rienow A and Goetzke R 2015 Supporting SLEUTH: Enhancing a cellular automaton with support vector machines for urban growth modeling. Computers, Environment and Urban Systems 49: 66–81
-
(2015)
Computers, Environment and Urban Systems
, vol.49
, pp. 66-81
-
-
Rienow, A.1
Goetzke, R.2
-
37
-
-
84903490071
-
Geosimulation of urban growth and demographic decline in the Ruhr: A case study for 2025 using the artificial intelligence of cells and agents
-
Rienow A and Stenger D 2014 Geosimulation of urban growth and demographic decline in the Ruhr: A case study for 2025 using the artificial intelligence of cells and agents. Journal of Geographical Systems 16: 311–42
-
(2014)
Journal of Geographical Systems
, vol.16
, pp. 311-342
-
-
Rienow, A.1
Stenger, D.2
-
40
-
-
34547192178
-
A GIS-based irregular cellular automata model of land-use change
-
Stevens D and Dragicevic S 2007 A GIS-based irregular cellular automata model of land-use change. Environment and Planning B 34: 708–24
-
(2007)
Environment and Planning B
, vol.34
, pp. 708-724
-
-
Stevens, D.1
Dragicevic, S.2
-
41
-
-
84897880041
-
Flood susceptibility mapping using a novel ensemble weights-of-evidence and support vector machine models in GIS
-
Tehrany M S, Pradhan B, and Jebur M N 2014 Flood susceptibility mapping using a novel ensemble weights-of-evidence and support vector machine models in GIS. Journal of Hydrology 51: 332–43
-
(2014)
Journal of Hydrology
, vol.51
, pp. 332-343
-
-
Tehrany, M.S.1
Pradhan, B.2
Jebur, M.N.3
-
42
-
-
0031718678
-
Forecasting rural land-use change: A comparison of regression-and spatial transition-based models
-
Theobald D M and Hobbs N T 1998 Forecasting rural land-use change: A comparison of regression-and spatial transition-based models. Geographical and Environmental Modelling 2: 57–74
-
(1998)
Geographical and Environmental Modelling
, vol.2
, pp. 57-74
-
-
Theobald, D.M.1
Hobbs, N.T.2
-
43
-
-
84861477120
-
-
edited by UPIO Belgrade., Belgrade, Serbia, Official Gazette of the City of Belgrade
-
URBEL 2003 The Master Plan of Belgrade 2021, edited by UPIO Belgrade. Belgrade, Serbia, Official Gazette of the City of Belgrade
-
(2003)
The Master Plan of Belgrade 2021
-
-
-
45
-
-
79953027902
-
Revisiting Kappa to account for change in the accuracy assessment of land-use change models
-
van Vliet J, Bregt A K, and Hagen-Zanker A 2011 Revisiting Kappa to account for change in the accuracy assessment of land-use change models. Ecological Modelling 222: 1367–75
-
(2011)
Ecological Modelling
, vol.222
, pp. 1367-1375
-
-
van Vliet, J.1
Bregt, A.K.2
Hagen-Zanker, A.3
-
47
-
-
0029661392
-
CLUE: A conceptual model to study the conversion of land use and its effects
-
Veldkamp A and Fresco L O 1996 CLUE: A conceptual model to study the conversion of land use and its effects. Ecological Modelling 85: 253–70
-
(1996)
Ecological Modelling
, vol.85
, pp. 253-270
-
-
Veldkamp, A.1
Fresco, L.O.2
-
48
-
-
3342984795
-
Land use change modelling: Current practice and research priorities
-
Verburg P H, Schot P P, Dijst M J, and Veldkamp A 2004 Land use change modelling: Current practice and research priorities. GeoJournal 61: 309–24
-
(2004)
GeoJournal
, vol.61
, pp. 309-324
-
-
Verburg, P.H.1
Schot, P.P.2
Dijst, M.J.3
Veldkamp, A.4
-
49
-
-
33847143777
-
Multisource fusion for land cover classification using support vector machines
-
Stockholm, Sweden
-
Watanachaturaporn P, Varshney P K, and Arora M K 2005 Multisource fusion for land cover classification using support vector machines. In Proceedings of Seventh International Conference on Information Fusion, Stockholm, Sweden: 614-21
-
(2005)
In, Proceedings of Seventh International Conference on Information Fusion
, pp. 614-621
-
-
Watanachaturaporn, P.1
Varshney, P.K.2
Arora, M.K.3
-
51
-
-
0031411688
-
Changing spatial distribution and determinants of land development in Chinese cities in the transition from a centrally planned economy to a socialist market economy: A case study of Guangzhou
-
Wu F L and Yeh A G O 1997 Changing spatial distribution and determinants of land development in Chinese cities in the transition from a centrally planned economy to a socialist market economy: A case study of Guangzhou. Urban Studies 34: 1851–79
-
(1997)
Urban Studies
, vol.34
, pp. 1851-1879
-
-
Wu, F.L.1
Yeh, A.G.O.2
-
52
-
-
34648851369
-
Simulating emergent urban form using agent-based modeling: Desakota in the Suzhou-Wuxian region in China
-
Xie Y C, Batty M, and Zhao K 2007 Simulating emergent urban form using agent-based modeling: Desakota in the Suzhou-Wuxian region in China. Annals of the Association of American Geographers 97: 477–95
-
(2007)
Annals of the Association of American Geographers
, vol.97
, pp. 477-495
-
-
Xie, Y.C.1
Batty, M.2
Zhao, K.3
-
53
-
-
84862817248
-
GIS-based Support Vector Machine modeling of earthquake-triggered landslide susceptibility in the Jianjiang River watershed, China
-
Xu C, Dai F C, Xu X W, and Lee Y H 2012 GIS-based Support Vector Machine modeling of earthquake-triggered landslide susceptibility in the Jianjiang River watershed, China. Geomorphology 145: 70–80
-
(2012)
Geomorphology
, vol.145
, pp. 70-80
-
-
Xu, C.1
Dai, F.C.2
Xu, X.W.3
Lee, Y.H.4
-
54
-
-
40949111342
-
Cellular automata for simulating land use changes based on Support Vector Machines. Computers and
-
Yang Q, Li X, and Shi X 2008 Cellular automata for simulating land use changes based on Support Vector Machines. Computers and Geosciences 34: 592–602
-
(2008)
Geosciences
, vol.34
, pp. 592-602
-
-
Yang, Q.1
Li, X.2
Shi, X.3
-
55
-
-
84911015556
-
Multi-agent based modeling of spatiotemporal dynamical urban growth in developing countries: Simulating future scenarios of Lianyungang city, China
-
Zhang H H, Jin X B, Wang L P, Zhou Y K, and Shu B R 2015 Multi-agent based modeling of spatiotemporal dynamical urban growth in developing countries: Simulating future scenarios of Lianyungang city, China. Stochastic Environmental Research and Risk Assessment 29: 63–78
-
(2015)
Stochastic Environmental Research and Risk Assessment
, vol.29
, pp. 63-78
-
-
Zhang, H.H.1
Jin, X.B.2
Wang, L.P.3
Zhou, Y.K.4
Shu, B.R.5
|