000 03718nam a22004815i 4500
001 978-3-642-16043-1
003 DE-He213
005 20140220083748.0
007 cr nn 008mamaa
008 110110s2011 gw | s |||| 0|eng d
020 _a9783642160431
_9978-3-642-16043-1
024 7 _a10.1007/978-3-642-16043-1
_2doi
050 4 _aG1-922
072 7 _aRG
_2bicssc
072 7 _aSCI030000
_2bisacsh
082 0 4 _a910
_223
100 1 _aGriffith, Daniel A.
_eauthor.
245 1 0 _aNon-standard Spatial Statistics and Spatial Econometrics
_h[electronic resource] /
_cby Daniel A. Griffith, Jean H. Paul Paelinck.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2011.
300 _aXXXVI, 264 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aAdvances in Geographic Information Science,
_x1867-2434 ;
_v1
505 0 _aPart 1. Non-standard spatial statistics -- 1. Introduction: spatial statistics, - 2. Individual versus ecological analyses -- 3. Statistical models for spatial data: some linkages and communalities -- 4. Frequency distributions for simulated spatially autorcorrelated random variable -- 5. Understanding correlations among spatial random variables -- 6. Spatially structured random effects: a comparison of three popular specifications -- 7. Spatial filter versus conventional spatial model specifications: some comparisons -- 8. The role of spatial of autocorrelation in prioritizing sites within a geographic landscape -- 9. General spatial statistics conclusions -- 10. References: spatial statistics (Part 1) Part 2. Non-standard spatial econometrics -- 11. Introduction: spatial econometrics -- 12. Mixed linear-logarithmetic specification for Lotka-Volterra models with endogenously generated SDLS-variables -- 13. Selecting spatial regimes by threshold analysis -- 14. Finite automata -- 15 Learning from residuals -- 16. Verhulst and Poisson distributions -- 17. QUARLIREG: qualitative regression and its application to spatial data -- 18. Filtering complexity for observational errors and spatial bias -- 19. General spatial econometrics conclusions -- 20. References: spatial econometrics (Part 2).
520 _aDespite spatial statistics and spatial econometrics both being recent sprouts of the general tree "spatial analysis with measurement"—some may remember the debate after WWII about "theory without measurement" versus "measurement without theory"—several general themes have emerged in the pertaining literature. But exploring selected other fields of possible interest is tantalizing, and this is what the authors intend to report here, hoping that they will suscitate interest in the methodologies exposed and possible further applications of these methodologies. The authors hope that reactions about their publication will ensue, and they would be grateful to reader(s) motivated by some of the research efforts exposed hereafter letting them know about these experiences.
650 0 _aGeography.
650 0 _aEconomics.
650 0 _aMigration.
650 1 4 _aGeography.
650 2 4 _aGeography (general).
650 2 4 _aMigration.
650 2 4 _aEconomics/Management Science, general.
700 1 _aPaelinck, Jean H. Paul.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642160424
830 0 _aAdvances in Geographic Information Science,
_x1867-2434 ;
_v1
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-16043-1
912 _aZDB-2-EES
999 _c107110
_d107110