000 03307nam a22005655i 4500
001 978-3-642-21720-3
003 DE-He213
005 20140220083806.0
007 cr nn 008mamaa
008 110811s2011 gw | s |||| 0|eng d
020 _a9783642217203
_9978-3-642-21720-3
024 7 _a10.1007/978-3-642-21720-3
_2doi
050 4 _aHT388
050 4 _aHD28-9999
072 7 _aKCP
_2bicssc
072 7 _aGTB
_2bicssc
072 7 _aBUS067000
_2bisacsh
082 0 4 _a338.9
_223
100 1 _aFischer, Manfred M.
_eauthor.
245 1 0 _aSpatial Data Analysis
_h[electronic resource] :
_bModels, Methods and Techniques /
_cby Manfred M. Fischer, Jinfeng Wang.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2011.
300 _aVIII, 80p. 5 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringerBriefs in Regional Science,
_x2192-0427
505 0 _aPreface -- 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 _aThe 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 _aEconomics.
650 0 _aSocial sciences
_xData processing.
650 0 _aGeographical information systems.
650 0 _aMathematical statistics.
650 0 _aRegional economics.
650 0 _aSocial sciences
_xMethodology.
650 1 4 _aEconomics/Management Science.
650 2 4 _aRegional/Spatial Science.
650 2 4 _aGeographical Information Systems/Cartography.
650 2 4 _aStatistical Theory and Methods.
650 2 4 _aMethodology of the Social Sciences.
650 2 4 _aComputer Appl. in Social and Behavioral Sciences.
700 1 _aWang, Jinfeng.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642217197
830 0 _aSpringerBriefs in Regional Science,
_x2192-0427
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-21720-3
912 _aZDB-2-SBE
999 _c108052
_d108052