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001 | 303532 | ||
003 | MX-SnUAN | ||
005 | 20160429155825.0 | ||
007 | cr nn 008mamaa | ||
008 | 150903s2011 gw | o |||| 0|eng d | ||
020 |
_a9783642160431 _99783642160431 |
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024 | 7 |
_a10.1007/9783642160431 _2doi |
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035 | _avtls000355898 | ||
039 | 9 |
_a201509030943 _bVLOAD _c201405060357 _dVLOAD _y201402191205 _zstaff |
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_aMX-SnUAN _bspa _cMX-SnUAN _erda |
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050 | 4 | _aG1-922 | |
100 | 1 |
_aGriffith, Daniel A. _eautor _999788 |
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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. |
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300 |
_axxxvI, 264 páginas _brecurso en línea. |
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336 |
_atexto _btxt _2rdacontent |
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337 |
_acomputadora _bc _2rdamedia |
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338 |
_arecurso en línea _bcr _2rdacarrier |
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347 |
_aarchivo de texto _bPDF _2rda |
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490 | 0 |
_aAdvances in Geographic Information Science, _x1867-2434 ; _v1 |
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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 |
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710 | 2 |
_aSpringerLink (Servicio en línea) _9299170 |
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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) |
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_c303532 _d303532 |