Spatial Data Analysis Models, Methods and Techniques /

The availability of spatial databases and widespread use of geographic information systems has stimulated increasing interest in the analysis and modelling of spatial data. Spatial data analysis focuses on detecting patterns, and on exploring and modelling relationships between them in order to unde...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Fischer, Manfred M. (Συγγραφέας), Wang, Jinfeng (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2011.
Σειρά:SpringerBriefs in Regional Science,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
LEADER 03276nam a22005655i 4500
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020 |a 9783642217203  |9 978-3-642-21720-3 
024 7 |a 10.1007/978-3-642-21720-3  |2 doi 
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100 1 |a Fischer, Manfred M.  |e author. 
245 1 0 |a Spatial Data Analysis  |h [electronic resource] :  |b Models, Methods and Techniques /  |c by Manfred M. Fischer, Jinfeng Wang. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg,  |c 2011. 
300 |a VIII, 80 p. 5 illus.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a SpringerBriefs in Regional Science,  |x 2192-0427 
505 0 |a Preface -- Part A: The Analysis of Geostatical Data -- Part B: The Analysis of Area Data -- Part C: The Analysis of Spatial Interaction Data -- Subject Index -- Author Index. 
520 |a The availability of spatial databases and widespread use of geographic information systems has stimulated increasing interest in the analysis and modelling of spatial data. Spatial data analysis focuses on detecting patterns, and on exploring and modelling relationships between them in order to understand the processes responsible for their emergence. In this way, the role of space is emphasised , and our understanding of the working and representation of space, spatial patterns, and processes is enhanced. In applied research, the recognition of the spatial dimension often yields different and more meaningful results and helps to avoid erroneous conclusions. This book aims to provide an introduction into spatial data analysis to graduates interested in applied statistical research. The text has been structured from a data-driven rather than a theory-based perspective, and focuses on those models, methods and techniques which are both accessible and of practical use for graduate students. Exploratory techniques as well as more formal model-based approaches are presented, and both area data and origin-destination flow data are considered. 
650 0 |a Application software. 
650 0 |a Geographical information systems. 
650 0 |a Statistics. 
650 0 |a Regional economics. 
650 0 |a Spatial economics. 
650 0 |a Social sciences. 
650 1 4 |a Economics. 
650 2 4 |a Regional/Spatial Science. 
650 2 4 |a Geographical Information Systems/Cartography. 
650 2 4 |a Statistical Theory and Methods. 
650 2 4 |a Methodology of the Social Sciences. 
650 2 4 |a Computer Appl. in Social and Behavioral Sciences. 
700 1 |a Wang, Jinfeng.  |e author. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783642217197 
830 0 |a SpringerBriefs in Regional Science,  |x 2192-0427 
856 4 0 |u http://dx.doi.org/10.1007/978-3-642-21720-3  |z Full Text via HEAL-Link 
912 |a ZDB-2-SBE 
950 |a Business and Economics (Springer-11643)