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020 _a9783642160431
_99783642160431
024 7 _a10.1007/9783642160431
_2doi
035 _avtls000355898
039 9 _a201509030943
_bVLOAD
_c201405060357
_dVLOAD
_y201402191205
_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aG1-922
100 1 _aGriffith, Daniel A.
_eautor
_999788
245 1 0 _aNon-standard Spatial Statistics and Spatial Econometrics /
_cby Daniel A. Griffith, Jean H. Paul Paelinck.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2011.
300 _axxxvI, 264 páginas
_brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
490 0 _aAdvances in Geographic Information Science,
_x1867-2434 ;
_v1
500 _aSpringer eBooks
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.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700 1 _aPaelinck, Jean H. Paul.
_eautor
_9342121
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9783642160424
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-3-642-16043-1
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
942 _c14
999 _c303532
_d303532