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Joint International Conference on Theory, Data Handling and Modelling in Geospatial Information Science 2010

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fullscreen: Joint International Conference on Theory, Data Handling and Modelling in Geospatial Information Science 2010

Monograph

Persistent identifier:
1663812470
Title:
Joint International Conference on Theory, Data Handling and Modelling in Geospatial Information Science 2010
Sub title:
ISPRS Technical Commission II Symposium, IGU International Symposium on Spatial Data Handling, IGU International Conference on Modelling Geographical Systems : Hong Kong, China, 26-28 May 2010
Scope:
601 Seiten
Year of publication:
2012
Place of publication:
Red Hook, NY
Publisher of the original:
Curran Associates, Inc.
Identifier (digital):
1663812470
Illustration:
Illustrationen, Diagramme
Signature of the source:
ZS 312(38,2)
Language:
English
Additional Notes:
Literaturangaben
Usage licence:
Attribution 4.0 International (CC BY 4.0)
Editor:
Guilbert, Eric
Lees, Brian
Leung, Yee
Corporations:
International Conference on Theory, Data Handling and Modelling in GeoSpatial Information Science, 2010, Hongkong
International Society for Photogrammetry and Remote Sensing
Internationale geographische Union
Adapter:
International Conference on Theory, Data Handling and Modelling in GeoSpatial Information Science, 2010, Hongkong
International Society for Photogrammetry and Remote Sensing
Internationale geographische Union
Founder of work:
International Conference on Theory, Data Handling and Modelling in GeoSpatial Information Science, 2010, Hongkong
International Society for Photogrammetry and Remote Sensing
Internationale geographische Union
Other corporate:
International Conference on Theory, Data Handling and Modelling in GeoSpatial Information Science, 2010, Hongkong
International Society for Photogrammetry and Remote Sensing
Internationale geographische Union
Publisher of the digital copy:
Technische Informationsbibliothek Hannover
Place of publication of the digital copy:
Hannover
Year of publication of the original:
2019
Document type:
Monograph
Collection:
Earth sciences

Chapter

Title:
[SESSION 3 - SPATIAL ANALYSIS]
Document type:
Monograph
Structure type:
Chapter

Chapter

Title:
AUTOMATICALLY AND ACCURATELY MATCHING OBJECTS IN GEOSPATIAL DATASETS L. Li, M. F. Goodchild
Document type:
Monograph
Structure type:
Chapter

Contents

Table of contents

  • Joint International Conference on Theory, Data Handling and Modelling in Geospatial Information Science 2010
  • Cover
  • ColorChart
  • Title page
  • TABLE OF CONTENTS
  • Organising Committee
  • Programme Committee
  • Invited Reviewers
  • Host organisations
  • Funding organisations
  • Supporting organisations
  • Sponsors
  • INTRODUCTION
  • [KEYNOTE ADDRESSES]
  • TWENTY YEARS OF PROGRESS: GISCIENCE IN 2010 Michael F. Goodchild
  • THE NEW ERA FOR GEO-INFORMATION Deren Li
  • PRINCIPLES OF NEURAL SPATIAL INTERACTION MODELLING Manfred M. Fischer
  • Deriving space-time variograms from space-time autoregressive (STAR) model specifications Daniel A. Griffith, Gerard B. M. Heuvelink
  • GIS AS PLANNING SUPPORT SYSTEM Anthony G. O. Yeh
  • [SESSION 1 - SPATIAL MODELLING]
  • A UNIFIED SPATIAL MODEL FOR GIS Maciej Dakowicz and Chris Gold
  • SPATIAL MORPHOLOGICAL CONCEPTUAL MODEL OF BAY D. D. Zhang, X. M. Yang, F. Z. Su, Y. Y. Du
  • W-BASED VS LATENT VARIABLES SPATIAL AUTOREGRESSIVE MODELS: EVIDENCE FROM MONTE CARLO SIMULATIONS An Liu, Henk Folmer, Han Oud
  • GENERALIZATION OF TILED MODELS WITH CURVED SURFACES USING TYPIFICATION Richard Guercke, Junqiao Zhao, Claus Brenner and Qing Zhu
  • AN OPTIMISED CELLULAR AUTOMATA MODEL BASED ON ADAPTIVE GENETIC ALGORITHM FOR URBAN GROWTH SIMULATION Yan Liu, Yongjiu Feng, [...]
  • VALIDATION OF PLANAR PARTITIONS USING CONSTRAINED TRIANGULATIONS Hugo Ledoux and Martijn Meijers
  • [SESSION 2 - SPACE AND TIME]
  • SPACE-TIME KERNELS J. Q. Wang, T. Cheng, J. Haworth
  • MODELLING LAND ALLOCATION PROCESS IN TIME AND SPACE M. A. Sharifi, M. Karimi, and M. S. Mesgari
  • A SPATIO-TEMPORAL POPULATION MODEL FOR ALARMING, SITUATIONAL PICTURE AND WARNING SYSTEM Z. Zhang, R. Sunila, K. Virrantaus
  • DEFINING DYNAMIC SPATIO-TEMPORAL NEIGHBOURHOOD OF NETWORK DATA Tao Cheng, Berk Anbaroglu
  • AN APPROACH OF DISCOVERING SPATIAL-TEMPORAL PATTERNS IN GEOGRAPHICAL PROCESS Siyue Chai, Fenzhen Su, Weiling Ma
  • SPATIO-TEMPORAL TRAJECTORY ANALYSIS OF MOBILE OBJECTS FOLLOWING THE SAME ITINERARY Laurent ETIENNE, Thomas DEVOGELE and Alain BOUJU
  • SPATIO-TEMPORAL ANALYSIS OF PRECIPITATION AND TEMPERATURE DISTRIBUTION OVER TURKEY P. A. Bostan, Z. Akyürek
  • [SESSION 3 - SPATIAL ANALYSIS]
  • AUTOMATICALLY AND ACCURATELY MATCHING OBJECTS IN GEOSPATIAL DATASETS L. Li, M. F. Goodchild
  • The Estimation of Mesoscale Ocean Eddies Change Based on CBR Yunyan Du, Chenghu Zhou, Lijing Wang, Guangya Qi, Xinzhong Yang
  • THE USE OF STATISTICAL POINT PROCESSES IN GEOINFORMATION ANALYSIS Alfred Stein, Valentyn Tolpekin and Olga Spatenkova
  • URBAN ROAD NETWORK ACCESSIBILITY EVALUATION METHOD BASED ON GIS SPATIAL ANALYSIS TECHNIQUES Hu Weiping, Wu Chi
  • RELEVANCE-DRIVEN ACQUISITION AND RAPID ON-SITE ANALYSIS OF 3D GEOSPATIAL DATA D. Eggert, V. Paelke
  • FACIAL EXPRESSION RECOGNITION BASED ON CLOUD MODEL Hehua Chi, Lianhua Chi, Meng Fang, Juebo Wu
  • GLACIER INFORMATION EXTRACTION BASED ON MULTI-FEATURE COMBINATION MODEL J. M. Gong, X. M. Yang, T. Zhang, X. Xu, Y. W. He
  • EXPLORING SPATIOTEMPORALLY VARYING REGRESSED RELATIONSHIPS: THE GEOGRAPHICALLY WEIGHTED PANEL REGRESSION ANALYSIS Danlin Yu
  • [SESSION 4 - SPATIAL DATA MINING]
  • LAND SUITABILITY EVALUATION FOR WHEAT CULTIVATION BY FUZZY THEORY APPROACHE AS COMPARED WITH PARAMETRIC METHOD M. Mokarram, K. Rangzan, A. Moezzi, J. Baninemeh
  • KNOWLEDGE DISCOVERY FROM MINING THE ASSOCIATION BETWEEN H5NI OUTBREAKS AND ENVIRONMENTAL FACTORS Y. L. Si, T. J. Wang, A. K. Skidmore, H. H. T. Prins
  • SPATIAL OBJECT RECOGNITION VIA INTEGRATION OF DISCRETE WAVELET DENOISING AND NONLINEAR SEGMENTATION Zhengmao Ye, Habib Mohamadian
  • INFORMATION MINING FROM REMOTE SENSING IMAGERY BASED ON MULTI-SCALE AND MULTI-FEATURE PROCESSING TECHNIQUES X. M. Yang, W. Cui, M. Gong, T. Zhang
  • MINING TIME SERIES DATA BASED UPON CLOUD MODEL Hehua Chi, Juebo Wu, Shuliang Wang, Lianhua Chi, Meng Fang
  • SEMANTIC AUGMENTATION OF GEOSPATIAL CONCEPTS: THE MULTI-VIEW AUGMENTED CONCEPT TO IMPROVE SEMANTIC INTEROPERABILITY BETWEEN MULTIPLES GEOSPATIAL DATABASES M. Bakillah, M. A. Mostafavi, J. Brodeur
  • GRAPH BASED RECOGNITION OF GRID PATTERN IN STREET NETWORKS Jing Tian, Tinghua Ai, Xiaobin Jia
  • [SESSION 5 - UNCERTAINTY MODELLING]
  • ESTIMATION OF MODEL ERROR OF LINE OBJECTS Wenzhong Shi; Sio-Kei Cheong; Eryong Liu
  • COMPARISON AND UNCERTAINTY ANALYSIS IN REMOTE SENSING BASED PRODUCTION EFFICIENCY MODELS Rui Liu, Jiu-lin Sun, Juan-le Wang , Min Liu, Xiao-lei Li, Fei Yang
  • SAMPLING SURVEY OF HEAVY METAL IN SOIL USING SSSI A. H. MAS, J. F. Wang, K. L. Zhang
  • ATTRIBUTE UNCERTAINTY MODELING IN LUNAR GIS DATA P. Weiss, W. Z. Shi, K. L. Yung
  • ASSESSMENT OF EXTENSIONAL UNCERTAINTY MODELED BY RANDOM SETS ON SEGMENTED OBJECTS FROM REMOTE SENSING IMAGES X. Zhao, X. Chen, L. Tian, T. Wang, A. Stein
  • STUDY ON THE DATA QUALITY MANAGEMENT AND THE DATA QUALITY CONTROL - A CASE STUDY OF THE EARTH SYSTEM SCIENCE DATA SHARING PROJECT Chongliang Sun, Juanle Wang
  • RESEARCH ON VISUALIZED DATA QUALITY CONTROL METHODS OF GROUND OBJECT SPECTRUM IN YANZHOU MINING AREA Jun-fu Fan, Min Ji, Ting Li, Zhuo Li
  • [SESSION 6 - SPATIAL DATABASE]
  • A HIERARCHICAL QUALITY-DEPENDENT APPROACH TOWARD ESTABLISHING A SEAMLESS NATIONWIDE TOPOGRAPHIC DATABASE S. Dalyot, A. Gershkovich, Y. Doytsher
  • INFLUENCE POWER-BASED CLUSTERING ALGORITHM FOR MEASURE PROPERTIES IN DATA WAREHOUSE Min Ji, Fengxiang Jin, Ting Li, Xiangwei Zhao, Bo Ai
  • NORMALIZING SPATIAL INFORMATION TO IMPROVE GEOGRAPHICAL INFORMATION INDEXING AND RETRIEVAL IN DIGITAL LIBRARIES Damien Palacio and Christian Sallaberry and Mauro Gaio
  • DESIGN AND CONSTRUCTION OF A GIS-BASED DATABASE FOR MANAGING LANDSLIDES IN MINING AREA Shanshan Wang, Min Ji, Xiangwei Zhao
  • EXPLORATORY SPATIAL DATA ANALYSIS OF REGIONAL ECONOMIC DISPARITIES IN BEIJING DURING 2001-2007 Xiaoyi Ma, Tao Pei
  • STUDY ON DATA INTEGRATION AND SHARING STANDARD AND SPECIFICATION SYSTEM FOR EARTH SYSTEM SCIENCE Wang Juanle, Sun Jiulin
  • ESTIMATION OF IMPRECISION IN LENGTH AND AREA COMPUTATION IN VECTOR DATABASES INCLUDING PRODUCTION PROCESSES DESCRIPTION JF. Girres, A. Ruas
  • [SESSION 7 - ADVANCES IN CARTOGRAPHY]
  • DIGITAL CHART CARTOGRAPHY: ERROR AND QUALITY CONTROL D. WU, H. HU, X. M. YANG, Y. D. ZHENG, L. H. ZHANG
  • CHARACTERIZATION AND DETECTION OF BUILDING PATTERNS IN CARTOGRAPHIC DATA: TWO ALGORITHMS Xiang Zhang, Tinghua Ai, Jantien Stoter
  • FORMALIZATION AND DATA ENRICHMENT FOR AUTOMATED EVALUATION OF BUILDING PATTERN PRESERVATION Xiang Zhang, Jantien Stoter, Tinghua Ai, Menno-Jan Kraak
  • A METHOD USING ESDA TO ANALYZE THE SPATIAL DISTRIBUTION PATTERNS OF CULTURAL RESOURCE Dongying ZHANG, Xiajun MAO, Lingkui MENG
  • LAYOUT OPTIMIZATION OF URBAN UNDERGROUND PIPELINE BASED ON 3D DIGITAL CITY Jianchun He, Jinxing Hu, Qingyuan Tang, Shanshan Guo
  • MULTI-RESOLUTION REPRESENTATION OF DIGITAL TERRAIN AND BUILDING MODELS Fuan Tsai, Wan-Rong Lin and Liang-Chien Chen
  • [SESSION 8 - LOCATION-BASED SERVICES]
  • LOCATION BASED CONTEXT AWARENESS THROUGH TAG-CLOUD VISUALIZATIONS V. Paelke, T. Dahinden, D. Eggert, J. Mondzech
  • AN OPEN-SOURCE WEB ARCHITECTURE FOR ADAPTIVE LOCATION BASED SERVICES Gavin McArdle, Andrea Ballatore, Ali Tahir, Michela Bertolotto
  • CAMPUSGIS ROUTING - A WEB-BASED LBS FOR THE UNIVERSITY OF COLOGNE U. Baaser, R. Laudien, G. Bareth
  • LOCATION-AWARE PERSONAL LIFE CONTENT MANAGER AND ITS PRIVACY FUNCTIONS Hideki Kaji and Masatoshi Arikawa
  • ROUTING WITH MINIMUM NUMBER OF LANDMARKS Jun Luo and Rong Peng and Chenglin Fan and Jinxing Hu
  • INDIVIDUAL DIFFERENCES IN THE TOURIST WAYFINDING DECISION MAKING PROCESS M. F. Abdul Khanan, J. Xia
  • EVALUATION OF ONLINE ITINERARY PLANNER AND INVESITAGATION OF POSSIBLE ENHANCEMENT FEATURES H.M. Tam & Pun-Cheng, L.S.C.
  • [SESSION 9 - MOBILE DATA MODELS]
  • A SIMPLE AND EFFICIENT SQL-BASED APPROACH FOR RETRIEVAL OF GEOSPATIAL DATA IN MOBILE GIS APPLICATION G. Y. K. Shea, J. N. Cao
  • MOBILE ROUTING SERVICES FOR SMALL TOWNS USING CLOUDMADE API AND OPENSTREETMAP Jianghua Zheng, Xiaoyu Chen, Blazej Ciepluch, Adam C. Winstanley, Peter Mooney and Ricky Jacob
  • A MULTI-MODAL ROUTE PLANNING APPROACH WITH AN IMPROVED GENETIC ALGORITHM Haicong Yu, Feng Lu
  • The Extended Route Service Based On Dynamic Update Frame: From Design To Deployment Guo Shanxin, Meng Lingkui, Yu Wanli
  • ENHANCING TRAVEL TIME FORECASTING WITH TRAFFIC CONDITION DETECTION Yingying Duan, Feng Lu, Jun Ouyang, Chuanbin Chen
  • EVALUATION OF AUTOMATICALLY EXTRACTED LANDMARKS DRIVER ASSISTANCE SYSTEMS FORFUTURE Claus Brenner and Sabine Hofmann
  • TEMPORALLY ADAPTIVE A ALGORITHM ON TIME-DEPENDENT TRANSPORTATION NETWORK N. B. Zheng, F. Lu
  • [SESSION 10 - SPATIAL DATA PROCESSING ALGORITHMS]
  • WAVELET DE-NOISING OF TERRESTRIAL LASER SCANNER DATA FOR THE CHARACTERIZATION OF ROCK SURFACE ROUGHNESS K. Khoshelham, D. Altundag
  • CCSSM: A TOOLKIT FOR INFORMATION EXTRACTION FROM REMOTELY SENSED IMAGERY Y. Ge, C. Zhang, H. X. Bai
  • CONSTRAINT ENERGIES FOR THE ADAPTATION OF 2D RIVER BORDERLINES TO AIRBORNE LASERSCANNING DATA USING SNAKES J. Goepfert, F. Rottensteiner, C. Heipke, Y. Alakese, B. Rosenhahn
  • TRACKING AREAL OBJECT IDENTITY IN SNAPSHOT SEQUENCES Mingzheng Shi and Stephan Winter
  • THE STUDY FOR MATCHING ALGORITHMS AND MATCHING TACTICS ABOUT AREA VECTOR DATA BASED ON SPATIAL DIRECTIONAL SIMILARITY Guo Li, Lv Zhiping, Zhang Bin, Wang Yaoge
  • LINEAR FEATURE ALIGNMENT BASED ON VECTOR POTENTIAL FIELD David N. Siriba and Monika Sester
  • RESEARCH ON LANDSLIDE PREDICTION MODEL BASED ON SUPPORT VECTOR MODEL Xiaowen Zhao, Min Ji, Xianguo Cui
  • [SESSION 11 - WEB GIS]
  • PRELIMINIARY INVESTIGATION OF WEB GIS TRUST: THE EXAMPLE OF THE “WIYBY” WEBSITE A. Skarlatidou, M. Haklay, T. Cheng
  • THE DESIGN AND IMPLEMENTATION OF A WEB SERVICES-BASED APPLICATION FRAMEWORK FOR SEA SURFACE TEMPERATURE INFORMATION HE Ya-wen, SU Fen-zhen, DU Yun-yan, Xiao Ru-lin, Sun Xiaodan
  • A STUDY OF SPATIAL DATA SHARING SYSTEM WITH WEB SERVICES Fan Li, Xu Zhang, Xian Jiang, Yong Shan
  • AN AUTOMATED INTERNET GEOINFORMATION SERVICE FOR INTEGRATING ONLINE GEOINFORMATION SERVICES AND GENERATING QUASI-REALISTIC SPATIAL POPULATION GIS MAPS S. Shi and N. Walford
  • A DYNAMICALLY LOAD AND UNLOAD ENABLED AGGREGATION MODEL BASED ON THE WPS JianBo Zhang, JiPing Liu, Bei Wang
  • AN INDEXING METHOD FOR SUPPORTING SPATIAL QUERIES IN STRUCTURED PEER-TO-PEER SYSTEMS Lingkui Meng, Wenjun Xie, Dan Liu
  • Cooperative Information Augmentation in a Geosensor Network Malte Jan Schulze, Claus Brenner, Monika Sester
  • [SESSION 12 - GEO-VISUALIZATION]
  • SHARING LANDSCAPE INFORMATION THROUGH AN ONLINE GEOGRAPHICAL VISUALISATION PORTAL C. J. Pettit, M. Imhof, M. Cox, H. Lewis, W. Harvey, J-P Aurambout
  • AN ONLINE VISUALIZATION AND DATA ANALYSIS SYSTEM FOR SOCIAL AND ECONOMIC DATA BASED ON FLASH TECHNOLOGY Jinqu Zhang, Yungiang Zhu, Yaping Yang, Jiulin Sun
  • VISUALIZING CLIMATE CHANGE IMPACT WITH UBIQUITOUS SPATIAL TECHNOLOGIES R. M. Bennett, C. Pettit, J. P. Aurambout, F. Sheth, H. Senot, L. Soste, V Sposito.
  • VISUALIZING FUTURE BIOLINKS USING A TOUCH TABLE - NEW DIMENSIONS IN PLANNING C. Bhandari, S. C. Sharma, I. D. Bishop, C. Pettit
  • 3D DATA VISUALISATION WITHIN SPATIAL DECISION SUPPORT SYSTEMS BY USING ARCGIS ENGINE R. Laudien, A. Christmann, S. Brocks
  • SELECTING OFFSHORE RENEWABLE ENERGY FUTURES FOR VICTORIA M. A. Boelen, I. Bishop, C. Pettit
  • SPATIAL RELATIONS AND INFERENCES FOR CONTEXT AWARE VISUALIZATION O. Akcay and O. Altan
  • [SESSION 13 - SPATIAL INFORMATION FOR ENVIRONMENTAL STUDIES]
  • DESIGN AND DEVELOPMENT OF FIELD SYNCHRONOUS DATA COLLECTING SYSTEM OF MINING AREA SURFACE DEFORMATION INFORMATION Yong Sun, Min Ji, Tao Jiang, Xiaojing Yao
  • COASTLINE CHANGE MEASUREMENT AND GENERATING RISK MAP FOR THE COAST USING GEOGRAPHIC INFORMATION SYSTEM D. K. Raju, K. Santosh, J. Chandrasekar & Teh Tiong-Sa
  • GIMS-TECNOLOGY FOR THE ENVIRONMENTAL DIAGNOSTICS F. A. Mkrtchyan, V. F. Krapivin
  • A DECISION SUPPORT FRAMEWORK FOR THE RISK ASSESSMENT OF COASTAL EROSION IN THE YANGTZE DELTA Li Xing; Zhou Yunxuan, Shen Fang, Kuang Runyuan, Wu Wen, Zheng Zongsheng
  • GIS-BASED MULTICRITERIA LAND SUITABILITY EVALUATION USING ORDERED WEIGHT AVERAGING WITH FUZZY QUANTIFIER: A CASE STUDY IN SHAVUR PLAIN, IRAN M. Mokarram, F. Aminzadeh
  • IDENTIFICA TION OF MUNICIPAL POLICIES THAT INFLUENCE THE DISTRIBUTION OF GREEN COVER ACROSS METROPOLITAN REGIONS S. J. Lee, T. Longcore, J. P. Wilson
  • THE CALCULATION OF TVDI BASED ON THE COMPOSITE TIME OF PIXEL AND DROUGHT ANALYSIS Lingkui Meng, Jiyuan Li, Zidan Chen, Wenjun Xie, Deqing Chen, Hongwei Duan
  • [SESSION 14 - SPATIAL INFORMATION FOR LAND USE STUDY]
  • OBJECT-BASED IMAGE CLASSIFICATION UTILIZING BACKGROUND KNOWLEDGE: A CASE STUDY OF LAND USE CLASSIFICATION T. Zhang, X. M. Yang, C. H. Zhou, F. Z. Su, J. M. Gong, Y. Y. Du
  • THE APPLICATION ON SUSTAINABLE LAND USE EVALUATION BY ‘3S’ TECHNOLOGY ZHAO Bin, ZHAO Wen-ji, LI Jia-cun
  • AN ASSESSMENT OF THE EFFICIENCY OF LANDSAT, NIGERIASAT-1 AND SPOT IMAGES FOR LANDUSE/LANDCOVER ANALYSES IN EKITI WEST AREA OF NIGERIA Ojo A G, Adesina F A
  • LAND USE DATA GENERALIZATION INDICES BASED ON SCALE AND LANDSCAPE PATTERN Y. L. Liu, L. M. Jiao, Y. F. Liu
  • EVALUATION AND FORECAST OF HUMAN IMPACTS BASED ON LAND USE CHANGES USING MULTI-TEMPORAL SATELLITE IMAGERY AND GIS: A CASE STUDY ON ZANJAN, IRAN (1984-2009) Mohsen Ahadnejad, Ali Reza Rabet
  • COMPARISON OF SPATIAL COMPACTNESS EVALUATION METHODS FOR SIMPLE GENETIC ALGORITHM BASED LAND USE PLANNING OPTIMIZATION PROBLEM CAO Kai, HUANG Bo
  • AUTOMATIC DERIVATION OF LAND-USE FROM TOPOGRAPHIC DATA Frank Thiemann, Monika Sester, Joachim Bobrich
  • [SESSION 15 - APPLICATION OF GIS AND REMOTE SENSING]
  • EXTRACTING THE SPATIAL-TEMPORAL RULES OF THE MESOSCALE OCEAN EDDIES IN THE SOUTH CHINA SEA BASED ON ROUGH SETS Qi Guangya, Du Yunyan, Cao Feng
  • THE EFFECT OF DISTANCE CORRECTION FACTOR IN CASE-BASED PREDICTIONS OF VEGETATION CLASSES IN KARULA, ESTONIA M. Linder, L. Jakobson, E. Absalon
  • EXPLORE MULTIVARIABLE SPATIO-TEMPORAL DATA WITH THE TIME WAVE CASE STUDY ON METEOROLOGICAL DATA Xia Li, Menno-Jan Kraak
  • RESEARCH OF SPATIAL AND TEMPORAL VARIATIONS OF WETLAND IN PEARL RIVER ESTUARY (1978 - 2005) GAO Yi, SU Fenzhen, SUN Xiaoyu, XUE Zhenshan, He Yawen
  • GIS TECHNIQUES FOR MAPPING URBAN VENTILATION, USING FRONTAL AREA INDEX AND LEAST COST PATH ANALYSIS M. S. Wong, J. E. Nichol, E. Y. Y. Ng, E. Guilbert, K. H. Kwok, P. H. To, J. Z. Wang
  • ESTIMATING ICE THICKNESS IN SOUTH GEORGIA FROM SRTM ELEVATION DATA A P R Cooper, J W Tate, A J Cook
  • ON-SHORE WIND AND SOLAR POWER PLANTS AS ALTERNATIVE ENERGY SOURCES FOR VICTORIA S. Margret-Gay, I. D. Bishop, C. Pettit
  • Cover

Full text

AUTOMATICALLY AND ACCURATELY 
MATCHING OBJECTS IN GEOSPATIAL DATASETS 
L. Li^ *, M. F. Goodchild* 
* Dept. of Geography, University of California, Santa Barbara, CA, 93106 US - (linna, good)@geog.ucsb.edu 
KEY WORDS: Object Matching, Linear Programming, Assignment Problem, Optimization, Greedy 
ABSTRACT: 
Identification of the same object represented in diverse geospatial datasets is a fundamental problem in spatial data handling and a 
variety of its applications. This need is becoming increasingly important as extraordinary amounts of geospatial data are collected 
and shared every day. Numerous difficulties exist in gathering information about objects of interest from diverse datasets, including 
different reference systems, distinct generalizations, and different levels of detail. Many research efforts have been made to select 
proper measures for matching objects according to the characteristics of involved datasets, though there appear to have been few if 
any previous attempts to improve the matching strategy given a certain criterion. This paper presents a new strategy to automatically 
and simultaneously match geographical objects in diverse datasets using linear programming, rather than identifying corresponding 
objects one after another. Based on a modified assignment problem model, we formulate an objective function that can be solved by 
an optimization model that takes into account all potentially matched pairs simultaneously by minimizing the total distance of all 
pairs in a similarity space. This strategy and widely used sequential approaches using the same matching criteria are applied to a 
series of hypothetical point datasets and real street network datasets. As a result, our strategy consistently improves global matching 
accuracy in all experiments. 
1. INTRODUCTION objects that represent the same entity in reality is an essential 
prerequisite to further analyses. 
1.1 Motivation 
i (s E 1.2 Objective 
High-quality data are always the prerequisite for meaningful 
analyses. Since no single geographical dataset is a complete and Object matching can be divided into two steps: the first step is 
accurate representation of the real world, we usually require to define a proper similarity measurement between objects, and 
data from diverse sources in scientific research and problem the second step is to search for matched pairs based on this 
solving. In a particular geographical application, we need to measurement. This paper focuses on the second step of this 
obtain data from multiple sources that represent different procedure by providing a new strategy for matching objects in 
properties of objects of interest. Unlike old days when research multiple sources given a certain criterion. Rather than adopting 
was impeded due to lack of data, rapid development of a sequential matching procedure that is widely used in existing 
technologies for data collection and dissemination creates literature, we propose a matching algorithm according to an 
abundant opportunities for manipulating and analyzing ^ optimization model by regarding object matching as an 
geographical information. However, it is not always assignment problem. In the remainder of this paper, Section 2 
straightforward to take advantage of large volumes of discusses two types of methods for object matching: widely 
geospatial data because data created by different agencies are used greedy method and proposed optimization method. In 
usually based on different generalization schemes, using section 3, we describe two sets of data used in our experiments 
different scales, and for different purposes. for a comparison between two methods. In section 4, we present 
the percentage of correctly matched pairs using different 
As it is impossible to directly collect all data by ourselves, we methods, followed by some conclusions in section 5. 
often need to utilize secondary data sources. Thus it is usually 
inevitable to combine multi-source data in science, decision- 1.3 Related Work 
making, and everyday life. For example, in an emergency such 
as Jesusita Fire in Santa Barbara, effective evacuation requires Object matching in geospatial datasets has been a fundamental 
integrative geospatial information about the affected area, research problem for decades. Most efforts have focused on the 
probably including DEM, land use, residence and facility definition of similarity between objects. If two objects in 
locations. Another typical application is the creation of an different datasets are similar in terms of positions, shapes, 
integrated database from two input datasets. It is possible that structures, and topologies and so on, it is probable that they 
one dataset has all necessary features and attributes, but the represent the same entity in the real world. The similarity 
other one bears a higher accuracy of positions. For instance, we metric varies from one application to another due to the 
have an old street network stored as vector data, and a recent inherent characteristics of input data and the availability of data 
remote sensing image that covers the same area. After properties. 
extracting streets in the image, we want to identify the same 
streets in the outdated vector database in order to improve its The most popular similarity measurement is the proximity 
positional accuracy. In all these cases, accurate identification of ~~ between objects. One typical criterion is the absolute proximity 
  
* Corresponding author. 
97 
 
	        

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