DOI: /j.cnki.tr (Soils), 2003, 35 (6): 456~460 [5] [4] [2] [4] LUCC (4) GTR GTR(Generalized Thunen- [2~8]

Size: px
Start display at page:

Download "DOI: /j.cnki.tr (Soils), 2003, 35 (6): 456~460 [5] [4] [2] [4] LUCC (4) GTR GTR(Generalized Thunen- [2~8]"

Transcription

1 DOI: /j.cnki.tr (Soils), 2003, 35 (6): 456~460 LUCC (GIS) Cellular Automata CA CA CA CA / (LUCC) P208 / LUCC / LUCC : [1] LUCC (1) [5] CA 8 CA LUCC [4] (2) 1980~1994 [2] 1980~1994 LUCC [4] (3) 1950~2050 Conversion Matrix S 1980~2030 [9] LUCC LUCC (4) GTR GTR(Generalized Thunen- [2~8] Ricardian LUCC Thunen

2 6 LUCC 457 Ricardian CA [10] GIS GTR 30 [14] CA St + 1 = f (S t, N) : S N [11] t f (GIS) LUCC CA 5 : GIS 1 lattice GIS GIS 3 2 CA state {01} GIS {s 0, s 1, s 2, s 3, s i, s k,} 3 [12] LUCC r r CA 4 CA LUCC CA (Cellular Automata CA) [15] 5CA (Von Neumann)20 40 t Conway JH 1970 t+1 (the Game of Life) t CA [13] (1) CA (2) CA (3) (4) CA (5)

3 (1) CA CA (2) CA Tobler CA CA CA (3) CA [15] Henlen Couclelis CA [16] Green CA (4) CA [17] Michael Batty CA [18] Xie Yichun ArcView CA Avenue CA (5) Buffalo CA GIS [19] White CA CA GIS (Cincinnati) [23] (Caribbean) CA LUCC [20] Wu Fulong CA LUCC CA (Multicriteria EvalutionMCE) Arc/Info AML C GIS LUCC CA MCE (1) [21] 1999 (GeoCA) (2) [22] CA ( ) Arc/Info Grid [23] ( ) Arc/Info Grid AML VB (3) (LESP ) LUCC [24] CA LUCC CA LUCC CA

4 6 LUCC 459 (4) CA LUCC LUCC CA [25] LUCC CA LUCC CA CA LUCC CA (1) CA CA LUCC 3S (2) CA LUCC CA LUCC CA CA LUCC (3) CA LUCC LUCC [25] (4) CA CA CA : CA LUCC LUCC LUCC LUCC CA LUCC

5 , 2001, 20 (6): 660~668 12,. (5) CA 13. CA ANN GIS. D, 2001, 31 (8) : 683~690 14,. CA CA., 1998, (6) : 165~169 CA 15 Tobler WR. A Computer Movie Simulating Urban Growth in the Detroit Region, Economic Geography. 1970, 46: CA CA 234~ Couclelis H. Cellular Worids: a Framework for Modeling Micro-Macro Dynamics. Environment and Planning A. CA 1985, 17: 585~ Green DG and Tridgell A. Interactive Simulation of Bushfires in Heterogeneous Fuels. Mathematical Compu- tation and Modeling, 1990, 13(12): 57~66 1,. 18 Batty M, Xie Y. Modeling inside GIS: Part1. Model., 1997, 12 (2) : 169~175 2,.. Part2. Selecting and calibrating urban models using, 2000, 55 (2) : 151~ Information Systems, 1994, 8: 291~307, 451~470, 1999, 14 (4) : 381~384 4,,. Geographical Analysis, 1997, 28: 350~373., 1999, 14 (4) : 74~79 5, Peter H Verburg. / cellular modeling approach to the evolution of urban land., 2000, 20 (3) : 197~202 6,,,. 1175~1189., 2001, 33 (2) : 81~85 7,.. through the integrated GIS and CA with AHP-Drived,2001,33(6)295~299 transition rules. Int. J. Geographical Information Science, 8,,. 1998, 12 (1): 63~82., 22.. :, 1999: 1996, 28 (1): 14~20 9,. / 23,. GIS., 2002, 21 (1) : 51~57 10 Konagaya K, Morita H, Otsubo K. Chinese landuse predicted by the GTR model. Discussion paper in the 1999 open meeting of the human dimensions of global environmental change reserch community, Tokyo, 1999, 212~219. ( ), 2001, 34 (6): 8~11 structures, exploratory spatial data analysis and aggregation; ARC/INFO. International Journal of Geographical 19 Xie Y.. A generlized model for cellular urban dynamics. 20 White RW. Cellular automata and fractal urban form: a use patterns. Environment and Planning A, 1993, 25: 21 Wu FL. SimLand: A prototype to simulate land conversion 27~48 11,.., 2001, (5): 48~155 24,. CA., 2002, 57 (2) : 159~166 25,.., 2002, 3 (1) : 79~85 ( 480 )

6 ,,.., 1999, 30: 10~12 4,,.., 2001, 33 (1): 1~6 5,,,,., ,, :,, 1999, 31 (2) : 70~76., 2001, 33 (1): 7~ : ( ). :, CLASSIFICATION AND BASIC PROPERTIES OF SOILS IN LUANCHENG COUNTY Zhu Anning Zhang Jiabao Zhang Yuming ( 1 Institute of Soil Science, Chinese Academy of Sciences, Nanjing ; 2 Shijiazhuang Institute of Agricultural Modernization, Chinese Academy of Sciences, Shijiazhuang ) Abstract An overall soil survey was carried out in Luancheng County, Hebei Province. According to the principle of the Chinese Soil Taxonomy and based on the characteristic soil horizons identified, the soils were classified into sixteen soil series, of which basic properties and distribution were determined preliminarily. Key words Soil series, Characteristic soil horizons, Basic properties ************************************************************************************************ ( 460 ) CELLULAR AUTOMATA MODEL AND SPATIO-TEMPORAL SIMULATION OF LUCC Tang Junyou 1 Yang Guishan 2 ( 1 Transportation College, Southeast University, Nanjing ; 2 Nanjing Institute of Geography and Limnlogy, Chinese Academy of Sciences, Nanjing ) Abstract In modeling of spatial-temporal process of Land Use/Cover Change(LUCC), support of the Geographical Information System (GIS) and other relative technologies are needed. But the present GIS cannot completely express the temporal information and spatial-temporal relationship of geographical entities, lacking the capability of spatial- temporal analysis and dynamical modeling. Cellular Automata (CA) are a kind of dynamically modeling framework from bottom to top and possess the capability of modeling spatial-temporal evolvement process of a complicated geographical system. To proceed with the principle and features of CA, the paper introduces the method for structuring the model and explore feasibility and operability of the CA model in modeling and forecasting spatial-temporal process of Land Use/Cover Change (LUCC). In the end, status, existing problems and prospects of its application are analyzed. Key words Cellular Automata (CA)ModelLand Use/Cover Change (LUCC)Spatio-temporal simulation

PROGRESS IN GEOGRAPHY

PROGRESS IN GEOGRAPHY 28 1 2009 01 PROGRESS IN GEOGRAPHY Vol28 No1 Jan 2009 ( 100101) : 19-20 40-20 80 20 80 GIS RS : ; ; [1] -20 80 [2] 20 80 [3] 19 : 19-20 40 :2008-08; : 2008-12 (40671054); (40635026); : GIS Email:gouty@igsnrraccn

More information

Towards a cellular automata based land-use transportation model

Towards a cellular automata based land-use transportation model Towards a cellular automata based land-use transportation model Nuno Norte Pinto * Department of Civil Engineering, University of Coimbra, Coimbra, Portugal António Pais Antunes Department of Civil Engineering,

More information

Simulation of Wetlands Evolution Based on Markov-CA Model

Simulation of Wetlands Evolution Based on Markov-CA Model Simulation of Wetlands Evolution Based on Markov-CA Model ZHANG RONGQUN 1 ZHAI HUIQING 1 TANG CHENGJIE 2 MA SUHUA 2 1 Department of Geography informantion science, College of information and Electrical

More information

Lecture 7: Cellular Automata Modelling: Principles of Cell Space Simulation

Lecture 7: Cellular Automata Modelling: Principles of Cell Space Simulation SCHOOL OF GEOGRAPHY Lecture 7: Cellular Automata Modelling: Principles of Cell Space Simulation Outline Types of Urban Models Again The Cellular Automata Approach: Urban Growth and Complexity Theory The

More information

A soft computing logic method for agricultural land suitability evaluation

A soft computing logic method for agricultural land suitability evaluation A soft computing logic method for agricultural land suitability evaluation B. Montgomery 1, S. Dragićević 1* and J. Dujmović 2 1 Geography Department, Simon Fraser University, 8888 University Drive, Burnaby,

More information

GRASS COVER CHANGE MODEL BASED ON CELLULAR AUTOMATA

GRASS COVER CHANGE MODEL BASED ON CELLULAR AUTOMATA GRASS COVER CHANGE MODEL BASED ON CELLULAR AUTOMATA Shuai Zhang *, Jingyin Zhao, Linyi Li Digital Agricultural Engineering Technological Research Center, Shanghai Academy of Agricultural Sciences, Shanghai,

More information

Cell-based Model For GIS Generalization

Cell-based Model For GIS Generalization Cell-based Model For GIS Generalization Bo Li, Graeme G. Wilkinson & Souheil Khaddaj School of Computing & Information Systems Kingston University Penrhyn Road, Kingston upon Thames Surrey, KT1 2EE UK

More information

Lecture 7: Cellular Automata Modelling: Principles of Cell Space Simulation

Lecture 7: Cellular Automata Modelling: Principles of Cell Space Simulation MRes in Advanced Spatial Analysis and Visualisation Lecture 7: Cellular Automata Modelling: Principles of Cell Space Simulation Outline Types of Urban Models Again The Cellular Automata Approach: Urban

More information

A Constrained CA Model to Simulate Urban Growth of the Tokyo Metropolitan Area

A Constrained CA Model to Simulate Urban Growth of the Tokyo Metropolitan Area A Constrained CA Model to Simulate Urban Growth of the Tokyo Metropolitan Area Yaolong Zhao 1, 2, Yuji Murayama 2 1 Faculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming,

More information

Replication of Spatio-temporal Land Use Patterns at Three Levels of Aggregation by an Urban Cellular Automata

Replication of Spatio-temporal Land Use Patterns at Three Levels of Aggregation by an Urban Cellular Automata Replication of Spatio-temporal Land Use Patterns at Three Levels of Aggregation by an Urban Cellular Automata Charles Dietzel 1 and Keith C. Clarke 2 1 University of California, Santa Barbara, Department

More information

Research Article Spatiotemporal Simulation of Tourist Town Growth Based on the Cellular Automata Model: The Case of Sanpo Town in Hebei Province

Research Article Spatiotemporal Simulation of Tourist Town Growth Based on the Cellular Automata Model: The Case of Sanpo Town in Hebei Province Abstract and Applied Analysis Volume 2013, Article ID 975359, 7 pages http://dx.doi.org/10.1155/2013/975359 Research Article Spatiotemporal Simulation of Tourist Town Growth Based on the Cellular Automata

More information

VECTOR CELLULAR AUTOMATA BASED GEOGRAPHICAL ENTITY

VECTOR CELLULAR AUTOMATA BASED GEOGRAPHICAL ENTITY Geoinformatics 2004 Proc. 12th Int. Conf. on Geoinformatics Geospatial Information Research: Bridging the Pacific and Atlantic University of Gävle, Sweden, 7-9 June 2004 VECTOR CELLULAR AUTOMATA BASED

More information

Spatio-temporal dynamics of the urban fringe landscapes

Spatio-temporal dynamics of the urban fringe landscapes Spatio-temporal dynamics of the urban fringe landscapes Yulia Grinblat 1, 2 1 The Porter School of Environmental Studies, Tel Aviv University 2 Department of Geography and Human Environment, Tel Aviv University

More information

Aalborg Universitet. Land-use modelling by cellular automata Hansen, Henning Sten. Published in: NORDGI : Nordic Geographic Information

Aalborg Universitet. Land-use modelling by cellular automata Hansen, Henning Sten. Published in: NORDGI : Nordic Geographic Information Aalborg Universitet Land-use modelling by cellular automata Hansen, Henning Sten Published in: NORDGI : Nordic Geographic Information Publication date: 2006 Document Version Publisher's PDF, also known

More information

Remote Sensing, Gis and Cellular Automata for Urban Growth Simulation

Remote Sensing, Gis and Cellular Automata for Urban Growth Simulation Computer and Information Science; Vol. 10, No. 4; 2017 ISSN 1913-8989 E-ISSN 1913-8997 Published by Canadian Center of Science and Education Remote Sensing, Gis and Cellular Automata for Urban Growth Simulation

More information

Optimizing Urban Modeling based on Road Network and Land Use/Cover Changes by Using Agent Base Cellular Automata Model

Optimizing Urban Modeling based on Road Network and Land Use/Cover Changes by Using Agent Base Cellular Automata Model Optimizing Urban Modeling based on Road Network and Land Use/Cover Changes by Using Agent Base Cellular Automata Model Yousef Khajavigodellou 1, A. A. Alesheikh 2, Farshad Hakimpour 3, Kamra Chapi 4 1

More information

Lecture 2: Modelling Histories: Types and Styles:

Lecture 2: Modelling Histories: Types and Styles: SCHOOL OF GEOGRAPHY Lecture 2: Modelling Histories: Types and Styles: Urban Models defined, The Urban Modelling Timeline, What Kind of Cities, Examples of Three Model Types Outline Origins: Location Theory

More information

SENSITIVITY ANALYSIS OF A GIS-BASED CELLULAR AUTOMATA MODEL

SENSITIVITY ANALYSIS OF A GIS-BASED CELLULAR AUTOMATA MODEL SENSITIVITY ANALYSIS OF A GIS-BASED CELLULAR AUTOMATA MODEL V. Kocabas a, *, S. Dragicevic a a Simon Fraser University, Department of Geography, Spatial Analysis Modeling Laboratory 8888 University Dr.,

More information

Session 4: Lecture 4: Cellular Automata. One and Two D D Automata and the Beginnings of ABM. Michael Batty

Session 4: Lecture 4: Cellular Automata. One and Two D D Automata and the Beginnings of ABM. Michael Batty Lectures on Complexity and Spatial Simulation Thursday, 14 March 2013 Session 4: Lecture 4: Cellular Automata One and Two D D Automata and the Beginnings of ABM Michael Batty m.batty@ucl.ac.uk @jmichaelbatty

More information

The Building Blocks of the City: Points, Lines and Polygons

The Building Blocks of the City: Points, Lines and Polygons The Building Blocks of the City: Points, Lines and Polygons Andrew Crooks Centre For Advanced Spatial Analysis andrew.crooks@ucl.ac.uk www.gisagents.blogspot.com Introduction Why use ABM for Residential

More information

Task A4, Appendix A: Maryland Land Use and Impact Assessment Model

Task A4, Appendix A: Maryland Land Use and Impact Assessment Model Task A4, Appendix A: Maryland Land Use and Impact Assessment Model The LEAM Model During the last two decades, spatial analysis tools, geographic information systems (GIS), and remote-sensing (RS) technologies

More information

Classification and Evaluation on Urban Sprawl Quality. in Future Shenzhen Based on SOFM Network Model

Classification and Evaluation on Urban Sprawl Quality. in Future Shenzhen Based on SOFM Network Model Classification and Evaluation on Urban Sprawl Quality in Future Shenzhen Based on SOFM Network Model Zhang Jin 1 1 College of Urban and Environmental Sciences, Peking University, No.5 Yiheyuan Road Haidian

More information

A Land Use Transport Model for Greater London:

A Land Use Transport Model for Greater London: Spatio-Temporal Analysis of Network Data and Road Developments Launch Event Workshop UCL Monday 18 May 2009 A Land Use Transport Model for Greater London: With Applications to an Integrated Assessment

More information

Cellular automata as the basis of integrated dynamic regional modelling

Cellular automata as the basis of integrated dynamic regional modelling Environment and Planning B: Planning and Design 1997, volume 24, pages 235-246 Cellular automata as the basis of integrated dynamic regional modelling R White Department of Geography, Memorial University

More information

Calibration and Assessment of Multitemporal Image-based Cellular Automata for Urban Growth Modeling

Calibration and Assessment of Multitemporal Image-based Cellular Automata for Urban Growth Modeling Calibration and Assessment of Multitemporal Image-based Cellular Automata for Urban Growth Modeling Sharaf Alkheder and Jie Shan Abstract This paper discusses the calibration and assessment of a cellular

More information

METRONAMICA: A dynamic spatial land use model applied to Vitoria-Gasteiz

METRONAMICA: A dynamic spatial land use model applied to Vitoria-Gasteiz METRONAMICA: A dynamic spatial land use model applied to Vitoria-Gasteiz Hedwig van Delden 1, Juan Carlos Escudero 2, Inge Uljee 1 and Guy Engelen 1,3 1 Research Institute for Knowledge Systems (RIKS)

More information

Land Use/Cover Changes & Modeling Urban Expansion of Nairobi City

Land Use/Cover Changes & Modeling Urban Expansion of Nairobi City Land Use/Cover Changes & Modeling Urban Expansion of Nairobi City Overview Introduction Objectives Land use/cover changes Modeling with Cellular Automata Conclusions Introduction Urban land use/cover types

More information

Con struction and applica tion of m odeling tendency of land type tran sition ba sed on spa tia l adjacency

Con struction and applica tion of m odeling tendency of land type tran sition ba sed on spa tia l adjacency 29 1 2009 1 ACTA ECOLOGICA SIN ICA Vol. 29, No. 1 Jan., 2009 1, 2, 3, 1, 3 (1., 250014; 2. ( ), 100083; 3., 100101) :,, 2000 2005,,,,, : ; ; ; : 100020933 (2009) 0120337207 : F323. 1, Q147, S126 : A Con

More information

Luc Anselin Spatial Analysis Laboratory Dept. Agricultural and Consumer Economics University of Illinois, Urbana-Champaign

Luc Anselin Spatial Analysis Laboratory Dept. Agricultural and Consumer Economics University of Illinois, Urbana-Champaign GIS and Spatial Analysis Luc Anselin Spatial Analysis Laboratory Dept. Agricultural and Consumer Economics University of Illinois, Urbana-Champaign http://sal.agecon.uiuc.edu Outline GIS and Spatial Analysis

More information

A Compound-type Neighborhood Cellular Automata. Model for Land Use Dynamics

A Compound-type Neighborhood Cellular Automata. Model for Land Use Dynamics A Compound-type Neighborhood Cellular Automata Model for Land Use Dynamics Zhongqiu Liu 1, Yangjie Guo 2, Yaolin Liu 3* 1 School of Resource and Environment Science, Wuhan University, Wuhan, China Telephone:

More information

MODELLING THE DRIVING FORCES OF SYDNEY S URBAN DEVELOPMENT ( ) IN A CELLULAR ENVIRONMENT

MODELLING THE DRIVING FORCES OF SYDNEY S URBAN DEVELOPMENT ( ) IN A CELLULAR ENVIRONMENT ARTICLES MODELLING THE DRIVING FORCES OF SYDNEY S URBAN DEVELOPMENT (1971 1996) IN A CELLULAR ENVIRONMENT Yan Liu, National Institute of Education, Nanyang Technological University Correspondence to Yan

More information

Lanzhou Urban Growth Prediction Based on Cellular Automata 1

Lanzhou Urban Growth Prediction Based on Cellular Automata 1 Lanzhou Urban Growth Prediction Based on Cellular Automata 1 Yaowen Xie*, Aigong Ma, Haoyu Wang Key Laboratory of West China's Environmental System (Ministry of Education), Lanzhou University, Lanzhou,

More information

Using Cellular Automaton to Simulate Urban Expansion in Changchun, China

Using Cellular Automaton to Simulate Urban Expansion in Changchun, China Sensors & Transducers 2014 by IFSA Publishing, S. L. http://www.sensorsportal.com Using Cellular Automaton to Simulate Urban Expansion in Changchun, China 1, 2 Jing MA, 3 Qiang BI, 4 Jingxia ZHANG, 1 Hongmei

More information

PROGRESS IN GEOGRAPHY

PROGRESS IN GEOGRAPHY 28 1 2009 01 PROGRESS IN GEOGRAPHY Vol.28, No.1 Jan., 2009 (1., 550001; 2., 400047; 3., 550025) : 1976 MSS,1986 1996 TM,2006 CBERS 1 5 DEM,, 30m ;, ;,,, 5~15km, : ; ; 1,,, [16],,, R.Welch 30 TM, GIS, [1],,,

More information

Abstract 1. The challenges facing Cartography in the new era.

Abstract 1. The challenges facing Cartography in the new era. Geo-Informatic Tupu the New development of Cartography Qin Jianxin Ph. D. The Research Center of Geographic Information System (GIS), Hunan Normal University. Changsha, Hunan, 410081 E-Mail: qjxzxd@sina.com

More information

Error Propagation and Model Uncertainties of Cellular Automata in Urban Simulation with GIS

Error Propagation and Model Uncertainties of Cellular Automata in Urban Simulation with GIS Error Propagation and Model Uncertainties of Cellular Automata in Urban Simulation with GIS Anthony Gar-On Yeh 1 and Xia Li 1,2 1 Centre of Urban Planning and Environmental Management, The University of

More information

SPATIAL ANALYSIS OF POPULATION DATA BASED ON GEOGRAPHIC INFORMATION SYSTEM

SPATIAL ANALYSIS OF POPULATION DATA BASED ON GEOGRAPHIC INFORMATION SYSTEM SPATIAL ANALYSIS OF POPULATION DATA BASED ON GEOGRAPHIC INFORMATION SYSTEM Liu, D. Chinese Academy of Surveying and Mapping, 16 Beitaiping Road, Beijing 100039, China. E-mail: liudq@casm.ac.cn ABSTRACT

More information

Simulating urban growth in South Asia: A SLEUTH application

Simulating urban growth in South Asia: A SLEUTH application Simulating urban growth in South Asia: A SLEUTH application Gargi Chaudhuri* 1 1 1725 State St., 2022 Cowley Hall, Department of Geography and Earth Science, University of Wisconsin-La Crosse *Email: gchaudhuri@uwlax.edu

More information

Analysis of the Tourism Locations of Chinese Provinces and Autonomous Regions: An Analysis Based on Cities

Analysis of the Tourism Locations of Chinese Provinces and Autonomous Regions: An Analysis Based on Cities Chinese Journal of Urban and Environmental Studies Vol. 2, No. 1 (2014) 1450004 (9 pages) World Scientific Publishing Company DOI: 10.1142/S2345748114500043 Analysis of the Tourism Locations of Chinese

More information

VCS MODULE VMD0018 METHODS TO DETERMINE STRATIFICATION

VCS MODULE VMD0018 METHODS TO DETERMINE STRATIFICATION VMD0018: Version 1.0 VCS MODULE VMD0018 METHODS TO DETERMINE STRATIFICATION Version 1.0 16 November 2012 Document Prepared by: The Earth Partners LLC. Table of Contents 1 SOURCES... 2 2 SUMMARY DESCRIPTION

More information

Mapping Landscape Change: Space Time Dynamics and Historical Periods.

Mapping Landscape Change: Space Time Dynamics and Historical Periods. Mapping Landscape Change: Space Time Dynamics and Historical Periods. Bess Moylan, Masters Candidate, University of Sydney, School of Geosciences and Archaeological Computing Laboratory e-mail address:

More information

A spatial literacy initiative for undergraduate education at UCSB

A spatial literacy initiative for undergraduate education at UCSB A spatial literacy initiative for undergraduate education at UCSB Mike Goodchild & Don Janelle Department of Geography / spatial@ucsb University of California, Santa Barbara ThinkSpatial Brown bag forum

More information

Complexity and Dynamic Modeling of Urban System

Complexity and Dynamic Modeling of Urban System Complexity and Dynamic Modeling of Urban System Wensheng Zhou and Qiang Li Abstract Complex system theory has made people recognize and understand urban phenomena from a new perspective. In particular,

More information

Spatial Logistic Regression and GIS to Model Rural-Urban Land Conversion

Spatial Logistic Regression and GIS to Model Rural-Urban Land Conversion Spatial Logistic Regression and GIS to Model Rural-Urban Land Conversion Chenglin Xie 1, Bo Huang 1, *, Christophe Claramunt 2 and Magesh Chandramouli 3 1 Department of Geomatics Engineering University

More information

Part 1. Modeling the Relationships between Societies and Nature... 1

Part 1. Modeling the Relationships between Societies and Nature... 1 Contents Introduction........................................ xi Part 1. Modeling the Relationships between Societies and Nature............................................ 1 Chapter 1. The Theoretical

More information

UNCERTAINTY IN THE POPULATION GEOGRAPHIC INFORMATION SYSTEM

UNCERTAINTY IN THE POPULATION GEOGRAPHIC INFORMATION SYSTEM UNCERTAINTY IN THE POPULATION GEOGRAPHIC INFORMATION SYSTEM 1. 2. LIU De-qin 1, LIU Yu 1,2, MA Wei-jun 1 Chinese Academy of Surveying and Mapping, Beijing 100039, China Shandong University of Science and

More information

ENGRG Introduction to GIS

ENGRG Introduction to GIS ENGRG 59910 Introduction to GIS Michael Piasecki May 1, 2014 Lecture 13: GIS Modeling and Programming Spatial Modeling and Programming The slides about GIS modeling in this lecture are prepared by Dr.

More information

Spatio-temporal models

Spatio-temporal models Spatio-temporal models Involve a least a three dimensional representation of one or more key attribute variation in planar (X-Y) space and through time. (a 4 th dimension could also be use, like Z for

More information

GEO GRA P HICAL RESEA RCH

GEO GRA P HICAL RESEA RCH 25 2 2006 3 GEO GRA P HICAL RESEA RCH Vol125, No12 Mar1, 2006 1,2, 1 (11, 100871 ; 21, 100084) : 1984 1999 Landsat TM,,,, 1984 1999,, : ; ; ; ; ; : 100020585 (2006) 0220204210 1, 1985 Batty [1 ], : Batty

More information

A SOIL EROSION MODEL BASED ON CELLULAR AUTOMATA

A SOIL EROSION MODEL BASED ON CELLULAR AUTOMATA A SOIL EROSION MODEL BASED ON CELLULAR AUTOMATA YUAN Lifeng a, * a Department of Electronics and Information Science, Nanjing University of Posts and Telecommunications, Nanjing 210003, Jiangsu, China;

More information

Preparation of LULC map from GE images for GIS based Urban Hydrological Modeling

Preparation of LULC map from GE images for GIS based Urban Hydrological Modeling International Conference on Modeling Tools for Sustainable Water Resources Management Department of Civil Engineering, Indian Institute of Technology Hyderabad: 28-29 December 2014 Abstract Preparation

More information

3 The LU/GEC Basic Model-II, a Land-use Model Linked with. - An Improved Model from the LU/GEC Basic Model-I -

3 The LU/GEC Basic Model-II, a Land-use Model Linked with. - An Improved Model from the LU/GEC Basic Model-I - 1 3 The LU/GEC Basic Model-II, a Land-use Model Linked with the LU/GEC Linkage Model - An Improved Model from the LU/GEC Basic Model-I - Hidenori MORITA* * Kagawa University, 2393 Iketo, Miki-cho, Kida-gun,

More information

sensors ISSN

sensors ISSN Sensors 2008, 8, 5975-5986; DOI: 10.3390/s8095975 Article OPEN ACCESS sensors ISSN 1424-8220 www.mdpi.org/sensors Integrated Evaluation of Urban Development Suitability Based on Remote Sensing and GIS

More information

AN INTEGRATED MULTI-GOAL REGIONAL PLANNING PLATFORM BASED ON REMOTE SENSING AND GIS

AN INTEGRATED MULTI-GOAL REGIONAL PLANNING PLATFORM BASED ON REMOTE SENSING AND GIS AN INTEGRATED MULTI-GOAL REGIONAL PLANNING PLATFORM BASED ON REMOTE SENSING AND GIS Xinhui Ma, Bingfang Wu *, Zhiming Luo, Lan Zeng Institute of Remote Sensing Applicat ions, Chinese Academy of Sciences,

More information

Geostatistics and Spatial Scales

Geostatistics and Spatial Scales Geostatistics and Spatial Scales Semivariance & semi-variograms Scale dependence & independence Ranges of spatial scales Variable dependent Fractal dimension GIS implications Spatial Modeling Spatial Analysis

More information

Self Organizing Maps for Urban Modelling

Self Organizing Maps for Urban Modelling Self Organizing Maps for Urban Modelling Victor Lobo 1,2, Pedro Cabral, Fernando Bação 1 1 ISEGI-New University of Lisbon, Campus de Campolide, 1070-312 Lisboa, Portugal Telephone: (+351 213870413) Fax:

More information

Michael Harrigan Office hours: Fridays 2:00-4:00pm Holden Hall

Michael Harrigan Office hours: Fridays 2:00-4:00pm Holden Hall Announcement New Teaching Assistant Michael Harrigan Office hours: Fridays 2:00-4:00pm Holden Hall 209 Email: michael.harrigan@ttu.edu Guofeng Cao, Texas Tech GIST4302/5302, Lecture 2: Review of Map Projection

More information

ECNU Writing Workshop, October 28 th, Urban Models: The Decline of Theory, The Rise of Big Data and the Fragmentation of Applications

ECNU Writing Workshop, October 28 th, Urban Models: The Decline of Theory, The Rise of Big Data and the Fragmentation of Applications ECNU Writing Workshop, October 28 th, 2012 CAMUSS Urban Models: The Decline of Theory, The Rise of Big Data and the Fragmentation of Applications Michael Batty University College London m.batty@ucl.ac.uk

More information

Modeling forest insect infestation: GIS and agentbased

Modeling forest insect infestation: GIS and agentbased Modeling forest insect infestation: GIS and agentbased approaches Taylor Anderson and Suzana Dragićević 2014 Esri Canada s Annual User Conference October 7 th, Toronto, Canada Presentation Overview Emerald

More information

Figure 1 Informal settlements in a valley in Nairobi. Informal settlements: definition and characteristics In this paper, we refer to 'Informal Settle

Figure 1 Informal settlements in a valley in Nairobi. Informal settlements: definition and characteristics In this paper, we refer to 'Informal Settle UNDERSTANDING INFORMAL URBAN PATTERNS BY INTEGRATING GEOGRAPHICAL INFORMATION SYSTEMS (GIS) AND CELLULAR AUTOMATA (CA) MODELLING R Sietchiping 1 1 Department of Geography and Environmental Studies, Melbourne

More information

Land Use Changes Modeling Based on Different Approaches: Fuzzy Cognitive Maps, Cellular Automata and Neural Networks

Land Use Changes Modeling Based on Different Approaches: Fuzzy Cognitive Maps, Cellular Automata and Neural Networks Land Use Changes Modeling Based on Different Approaches: Fuzzy Cognitive Maps, Cellular Automata and Neural Networks MARIA MOISE Computer Science for Business Management Faculty Romanian American University

More information

Reassessing the conservation status of the giant panda using remote sensing

Reassessing the conservation status of the giant panda using remote sensing SUPPLEMENTARY Brief Communication INFORMATION DOI: 10.1038/s41559-017-0317-1 In the format provided by the authors and unedited. Reassessing the conservation status of the giant panda using remote sensing

More information

Introduction to agent-based and cellular automaton models of land-use change

Introduction to agent-based and cellular automaton models of land-use change Introduction to agent-based and cellular automaton models of land-use change Dawn Cassandra Parker Assistant Professor Dept. of Computational Social Science Center for Social Complexity George Mason University

More information

Urban sprawl will save ecosystems - what happens at the urban fringe?

Urban sprawl will save ecosystems - what happens at the urban fringe? Urban sprawl will save ecosystems - what happens at the urban fringe? D. Czamanski Technion Israel Institute of Technology May 2009 Background: Czamanski, D., Benenson, I., Malkinson, D., Marinov, M.,

More information

GIST 4302/5302: Spatial Analysis and Modeling Lecture 2: Review of Map Projections and Intro to Spatial Analysis

GIST 4302/5302: Spatial Analysis and Modeling Lecture 2: Review of Map Projections and Intro to Spatial Analysis GIST 4302/5302: Spatial Analysis and Modeling Lecture 2: Review of Map Projections and Intro to Spatial Analysis Guofeng Cao http://www.spatial.ttu.edu Department of Geosciences Texas Tech University guofeng.cao@ttu.edu

More information

Keywords: Urban development; cellular automata; spatial modelling; GIS; Sydney.

Keywords: Urban development; cellular automata; spatial modelling; GIS; Sydney. Modelling the Driving Forces of Sydney's Urban Development (1971-96) in a Cellular Environment Yan Liu Lecturer PhD School of Geography, Planning & Architecture, The University of Queensland Current address:

More information

GIST 4302/5302: Spatial Analysis and Modeling

GIST 4302/5302: Spatial Analysis and Modeling GIST 4302/5302: Spatial Analysis and Modeling Lecture 2: Review of Map Projections and Intro to Spatial Analysis Guofeng Cao http://thestarlab.github.io Department of Geosciences Texas Tech University

More information

The Importance of Spatial Literacy

The Importance of Spatial Literacy The Importance of Spatial Literacy Dr. Michael Phoenix GIS Education Consultant Taiwan, 2009 What is Spatial Literacy? Spatial Literacy is the ability to be able to include the spatial dimension in our

More information

Evaluating cities' vitality and identifying ghost cities in China with emerging geographical data

Evaluating cities' vitality and identifying ghost cities in China with emerging geographical data Evaluating cities' vitality and identifying ghost cities in China with emerging geographical data Ying Long, Associate Professor School of Architecture, Tsinghua University, China November 14, 2016 In

More information

Modeling urban growth pattern for sustainable archaeological sites: A case study in Siem Reap, Cambodia

Modeling urban growth pattern for sustainable archaeological sites: A case study in Siem Reap, Cambodia Modeling urban growth pattern for sustainable archaeological sites: A case study in Siem Reap, CHANVOLEAK OURNG; DANIEL S. RODRIGUES; LÍGIA T. SILVA; RUI A. R. RAMOS Engineering School Department of Civil

More information

Of cells and cities: a comparative Econometric and Cellular Automata approach to Urban Growth Modeling

Of cells and cities: a comparative Econometric and Cellular Automata approach to Urban Growth Modeling Of cells and cities: a comparative Econometric and Cellular Automata approach to Urban Growth Modeling Tamás Krisztin 2, Eric de Noronha Vaz 1, Matthias Koch 2 Department of Computer Science 1 University

More information

Representation of Geographic Data

Representation of Geographic Data GIS 5210 Week 2 The Nature of Spatial Variation Three principles of the nature of spatial variation: proximity effects are key to understanding spatial variation issues of geographic scale and level of

More information

A simple agricultural land use model implemented using Geographical Vector Agents (GVA)

A simple agricultural land use model implemented using Geographical Vector Agents (GVA) A simple agricultural land use model implemented using Geographical Vector Agents (GVA) A. B. Moore 1, Y. Hammam 2, P. A. Whigham 2 1 School of Surveying / 2 Department of Information Science, University

More information

Table of Contents. Preface... xiii. Introduction... xv

Table of Contents. Preface... xiii. Introduction... xv Preface... xiii Introduction... xv Chapter 1. Modeling Concepts Used in Spatial Analysis... 1 François DURAND-DASTÈS 1.1. Introduction... 1 1.2. Modeling universals... 2 1.2.1. Logical frames for modeling...

More information

Assessing spatially explicit land use/cover change models

Assessing spatially explicit land use/cover change models 508 Assessing spatially explicit land use/cover change models Jean-François Mas 1*, Azucena Pérez Vega 2 & Keith Clarke 3 1 Centro de Investigaciones en Geografía Ambiental - Universidad Nacional Autónoma

More information

CHAPTER 1 INTRODUCTION

CHAPTER 1 INTRODUCTION 1 CHAPTER 1 INTRODUCTION 1.1 Background of the study 1.1.1 Urban growth and its global importance Urbanization and climate change are two environmental phenomen of the 21st century, and these two processes

More information

THE SPATIOTEMPORAL LAND USE/COVER CHANGE of ADANA CITY

THE SPATIOTEMPORAL LAND USE/COVER CHANGE of ADANA CITY THE SPATIOTEMPORAL LAND USE/COVER CHANGE of ADANA CITY A. Akın a, M. A. Erdoğan b, S. Berberoğlu c a Bursa Technical University, Urban and Regional Planning Department, Bursa - anil.tanriover@btu.edu.tr

More information

Contents. Interactive Mapping as a Decision Support Tool. Map use: From communication to visualization. The role of maps in GIS

Contents. Interactive Mapping as a Decision Support Tool. Map use: From communication to visualization. The role of maps in GIS Contents Interactive Mapping as a Decision Support Tool Claus Rinner Assistant Professor Department of Geography University of Toronto otru gis workshop rinner(a)geog.utoronto.ca 1 The role of maps in

More information

A Land Use Spatial Allocation Model based on Ant. Colony Optimization

A Land Use Spatial Allocation Model based on Ant. Colony Optimization A Land Use Spatial Allocation Model based on Ant Colony Optimization LIU YaoLin 1,2 *, TANG DiWei 1,LIU DianFeng 1,2,KONG XueSong 1,2 1 School of Resource and Environment Science, Wuhan University, Wuhan

More information

CELLULAR AUTOMATA IN URBAN PLANNING AND DEVELOPMENT

CELLULAR AUTOMATA IN URBAN PLANNING AND DEVELOPMENT CELLULAR AUTOMATA IN URBAN PLANNING AND DEVELOPMENT Amir Mahmood Ghafari 1, Muhammad Zaly shah 2, Omidreza Saadatian 3, Elias Salleh 3 1 Faculty of Built and Environment, Universiti Technology Malaysia

More information

Spatial Analysis and Modeling of Urban Land Use Changes in Lusaka, Zambia: A Case Study of a Rapidly Urbanizing Sub- Saharan African City

Spatial Analysis and Modeling of Urban Land Use Changes in Lusaka, Zambia: A Case Study of a Rapidly Urbanizing Sub- Saharan African City Spatial Analysis and Modeling of Urban Land Use Changes in Lusaka, Zambia: A Case Study of a Rapidly Urbanizing Sub- Saharan African City January 2018 Matamyo SIMWANDA Spatial Analysis and Modeling of

More information

Joint International Mechanical, Electronic and Information Technology Conference (JIMET 2015)

Joint International Mechanical, Electronic and Information Technology Conference (JIMET 2015) Joint International Mechanical, Electronic and Information Technology Conference (JIMET 2015) Extracting Land Cover Change Information by using Raster Image and Vector Data Synergy Processing Methods Tao

More information

Development of a Prototype Land Use Model for Statewide Transportation Planning Activities. Final Report Project Number: BDK

Development of a Prototype Land Use Model for Statewide Transportation Planning Activities. Final Report Project Number: BDK Development of a Prototype Land Use Model for Statewide Transportation Planning Activities Final Report Project Number: BDK77 977-03 Submitted to the Systems Planning Office, Florida Department of Transportation

More information

UNIVERSITY OF NAIROBI

UNIVERSITY OF NAIROBI UNIVERSITY OF NAIROBI SITE SUITABILITY ANALYSIS FOR RESIDENTIAL DEVELOPMENTS A case study of Langata Constituency, Nairobi Kenya Presented By Kevin Otiego Supervisor: Mr. Samuel Nthuni Department of Geospatial

More information

PLEASE SCROLL DOWN FOR ARTICLE

PLEASE SCROLL DOWN FOR ARTICLE This article was downloaded by: [Purdue University] On: 28 October 2008 Access details: Access Details: [subscription number 788774190] Publisher Taylor & Francis Informa Ltd Registered in England and

More information

EXPLORATORY RESEARCH ON DYNAMIC VISUALIZATION BASED ON SPATIO-TEMPORAL DATABASE

EXPLORATORY RESEARCH ON DYNAMIC VISUALIZATION BASED ON SPATIO-TEMPORAL DATABASE EXPLORATORY RESEARCH ON DYNAMIC VISUALIZATION BASED ON SPATIO-TEMPORAL DATABASE Yang ping a, b, Tang Xinming b, c, Lei Bing b, Zhai Liang a,b, Tian Jiaojiao d a School of Resource and Environment Science,

More information

LAND USE AND LAND COVER ANALYSIS USING 8- BAND DATA: A CASE STUDY OF BELGAUM CITY AND ITS SURROUNDING.

LAND USE AND LAND COVER ANALYSIS USING 8- BAND DATA: A CASE STUDY OF BELGAUM CITY AND ITS SURROUNDING. LAND USE AND LAND COVER ANALYSIS USING 8- BAND DATA: A CASE STUDY OF BELGAUM CITY AND ITS SURROUNDING. Mrs. Rita Basanna *, Dr. A.K. Wodeyar ** ABSTRACT Monitoring land-use change has become an important

More information

MODELLING AND UNDERSTANDING MULTI-TEMPORAL LAND USE CHANGES

MODELLING AND UNDERSTANDING MULTI-TEMPORAL LAND USE CHANGES MODELLING AND UNDERSTANDING MULTI-TEMPORAL LAND USE CHANGES Jianquan Cheng Department of Environmental & Geographical Sciences, Manchester Metropolitan University, John Dalton Building, Chester Street,

More information

Types of spatial data. The Nature of Geographic Data. Types of spatial data. Spatial Autocorrelation. Continuous spatial data: geostatistics

Types of spatial data. The Nature of Geographic Data. Types of spatial data. Spatial Autocorrelation. Continuous spatial data: geostatistics The Nature of Geographic Data Types of spatial data Continuous spatial data: geostatistics Samples may be taken at intervals, but the spatial process is continuous e.g. soil quality Discrete data Irregular:

More information

Dynamic Spatial Modeling of Urban Growth through Cellular Automata in a GIS Environment

Dynamic Spatial Modeling of Urban Growth through Cellular Automata in a GIS Environment Int. J. Environ. Res., 1(3): 272-279, Summer 2007 ISSN: 1735-6865 Dynamic Spatial Modeling of Urban Growth through Cellular Automata in a GIS Environment Mahiny, A. S. * and Gholamalifard, M. College of

More information

GIScience in Urban Planning Education - Experience from University of Maryland

GIScience in Urban Planning Education - Experience from University of Maryland GIScience in Urban Planning Education - Experience from University of Maryland February 3, 2007 University of Tokyo Qing Shen Professor of Urban Studies and Planning School of Architecture,

More information

DECISION MAKING IN AGRICULTURE BASED ON LAND SUITABILITY SPATIAL DATA ANALYSIS APPROACH

DECISION MAKING IN AGRICULTURE BASED ON LAND SUITABILITY SPATIAL DATA ANALYSIS APPROACH DECISION MAKING IN AGRICULTURE BASED ON LAND SUITABILITY SPATIAL DATA ANALYSIS APPROACH 1 M. PARIMALA, 2 DAPHNE LOPEZ 1 Asst Prof., School of Information Technology & Engineeirng, VIT University 2 Prof.,

More information

An Artificial-Neural-Network-based, Constrained CA Model for Simulating Urban Growth

An Artificial-Neural-Network-based, Constrained CA Model for Simulating Urban Growth University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln Papers in Natural Resources Natural Resources, School of 2005 An Artificial-Neural-Network-based, Constrained CA Model for

More information

(2011)

(2011) 31 10 Vol.31 No. 10 2011 10 ECONOMIC GEOGRAPHY Oct. 2011 1000-8462(2011)10-1610 - 08 1 2 1. 100048 2. 100101 1990, K901.2 A 1 1990 [1] 21 [12] [2] 1990 [3] 1990 2009 2 733.6 [4] [5] [6-7] [8-11] 2011-05

More information

Government GIS and its Application for Decision Support

Government GIS and its Application for Decision Support Government GIS and its Application for Decision Support Zhang Qingpu (Chinese Academy of Surveying and Mapping, Email: zhangqp@casm.ac.cn) Abstract: Application of GIS in government agencies is called

More information

Landuse/Landcover Change Detection in Umshing- Mawkynroh of East Khasi Hills District, Meghalaya Using Spatial Information Technology

Landuse/Landcover Change Detection in Umshing- Mawkynroh of East Khasi Hills District, Meghalaya Using Spatial Information Technology International Journal of Scientific and Research Publications, Volume 6, Issue 1, January 2016 197 Landuse/Landcover Change Detection in Umshing- Mawkynroh of East Khasi Hills District, Meghalaya Using

More information

A cellular automata model for the study of small-size urban areas

A cellular automata model for the study of small-size urban areas Context and Motivation A cellular automata model for the study of small-size urban areas Centre de Política de Sòl i Valoracions Barcelona 23 January 2007 Nuno Norte Pinto School of Technology and Management

More information

High resolution population grid for the entire United States

High resolution population grid for the entire United States High resolution population grid for the entire United States A. Dmowska, T. F. Stepinski Space Informatics Lab, Department of Geography, University of Cincinnati, Cincinnati, OH 45221-0131, USA Telephone:

More information

John Laznik 273 Delaplane Ave Newark, DE (302)

John Laznik 273 Delaplane Ave Newark, DE (302) Office Address: John Laznik 273 Delaplane Ave Newark, DE 19711 (302) 831-0479 Center for Applied Demography and Survey Research College of Human Services, Education and Public Policy University of Delaware

More information

Spatio-temporal dynamics in California s Central Valley: Empirical links to urban theory

Spatio-temporal dynamics in California s Central Valley: Empirical links to urban theory International Journal of Geographical Information Science Vol. 19, No. 2, February 2005, 175 195 Spatio-temporal dynamics in California s Central Valley: Empirical links to urban theory CHARLES DIETZEL*,

More information