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Books on the topic 'Spatial and temporal partitioning'

Author: Grafiati
Published: 4 June 2021
Last updated: 16 February 2022

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1

Stock, Oliviero. Spatial and Temporal Reasoning. Dordrecht: Springer, 1997.

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2

Stock, Oliviero, ed. Spatial and Temporal Reasoning. Dordrecht: Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-0-585-28322-7.

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3

Roddick, John F., and Kathleen Hornsby, eds. Temporal, Spatial, and Spatio-Temporal Data Mining. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-45244-3.

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4

Ligozat, Gérard. Qualitative spatial and temporal reasoning. London, UK: ISTE, 2011.

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5

Ligozat, Gérard. Qualitative Spatial and Temporal Reasoning. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118601457.

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6

Schneider, David C. Quantitative ecology: Spatial and temporal scaling. San Diego: Academic Press, 1994.

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7

Mamoulis, Nikos, Thomas Seidl, Torben Bach Pedersen, Kristian Torp, and Ira Assent, eds. Advances in Spatial and Temporal Databases. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02982-0.

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8

Peters, Gareth William, and Tomoko Matsui, eds. Theoretical Aspects of Spatial-Temporal Modeling. Tokyo: Springer Japan, 2015. http://dx.doi.org/10.1007/978-4-431-55336-6.

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9

Pfoser, Dieter, Yufei Tao, Kyriakos Mouratidis, Mario A. Nascimento, Mohamed Mokbel, Shashi Shekhar, and Yan Huang, eds. Advances in Spatial and Temporal Databases. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22922-0.

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10

Claramunt, Christophe, Markus Schneider, Raymond Chi-Wing Wong, Li Xiong, Woong-Kee Loh, Cyrus Shahabi, and Ki-Joune Li, eds. Advances in Spatial and Temporal Databases. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-22363-6.

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11

Hadzilacos, Thanasis, Yannis Manolopoulos, John Roddick, and Yannis Theodoridis, eds. Advances in Spatial and Temporal Databases. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/b11839.

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12

Jensen, Christian S., Markus Schneider, Bernhard Seeger, and Vassilis J. Tsotras, eds. Advances in Spatial and Temporal Databases. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-47724-1.

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13

Nascimento, Mario A., Timos Sellis, Reynold Cheng, Jörg Sander, Yu Zheng, Hans-Peter Kriegel, Matthias Renz, and Christian Sengstock, eds. Advances in Spatial and Temporal Databases. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40235-7.

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14

Sherman, Michael. Spatial Statistics and Spatio-Temporal Data. Chichester, UK: John Wiley & Sons, Ltd, 2010. http://dx.doi.org/10.1002/9780470974391.

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15

Bauzer Medeiros, Claudia, Max J. Egenhofer, and Elisa Bertino, eds. Advances in Spatial and Temporal Databases. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11535331.

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16

Papadias, Dimitris, Donghui Zhang, and George Kollios, eds. Advances in Spatial and Temporal Databases. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-73540-3.

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17

Gertz, Michael, Matthias Renz, Xiaofang Zhou, Erik Hoel, Wei-Shinn Ku, Agnes Voisard, Chengyang Zhang, et al., eds. Advances in Spatial and Temporal Databases. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-64367-0.

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18

Fan, L. T. Elementary introduction to spatial and temporal fractals. Berlin: Springer-Verlag, 1991.

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19

Smith, Kelly Jane. Spatial and temporal aspects of visual binding. Birmingham: University of Birmingham, 1997.

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20

Temporal and spatial patterns in carbonate platforms. Berlin: Springer-Verlag, 1993.

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21

ECSA Symposium (19th 1989 University of Caen, France). Estuaries and coasts: Spatial and temporal intercomparisons. Fredensborg, Denmark: Olsen & Olsen, 1991.

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22

Miles, J., W. Schmidt, and E. van der Maarel, eds. Temporal and Spatial Patterns of Vegetation Dynamics. Dordrecht: Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-009-2275-4.

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23

Izadi, Dariush. The Spatial and Temporal Dimensions of Interactions. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-19584-7.

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24

Fan, L. T., D. Neogi, and M. Yashima. Elementary Introduction to Spatial and Temporal Fractals. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-45690-9.

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25

Verma, Desh Pal S., and Robert B. Goldberg, eds. Temporal and Spatial Regulation of Plant Genes. Vienna: Springer Vienna, 1988. http://dx.doi.org/10.1007/978-3-7091-6950-6.

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26

Batagelj, Vladimir, Patrick Doreian, Anus̆ka Ferligoj, and Natas̆a Kejz̆ar, eds. Understanding Large Temporal Networks and Spatial Networks. Chichester, United Kingdom: John Wiley & Sons Ltd, 2014. http://dx.doi.org/10.1002/9781118915370.

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27

Sapkota, Prakash Raj. Crop productivity in Nepal: Spatial and temporal dimensions. Morrilton, AR, U.S.A: Winrock International Institute for Agricultural Development, 1986.

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28

Knox, Nichola Maria. Observing temporal and spatial variability of forage quality. Enschede: ITC, 2010.

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29

van, Langevelde Frank, ed. Resource Ecology: Spatial and Temporal Dynamics of Foraging. Dordrecht: Springer Netherlands, 2008.

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30

Mannion, Antoinette M. Agriculture and environmental change: Temporal and spatial dimensions. Chichester: J. Wiley, 1995.

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31

Peters, Gareth William, and Tomoko Matsui, eds. Modern Methodology and Applications in Spatial-Temporal Modeling. Tokyo: Springer Japan, 2015. http://dx.doi.org/10.1007/978-4-431-55339-7.

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32

Ando, Yoichi. Brain-Grounded Theory of Temporal and Spatial Design. Tokyo: Springer Japan, 2016. http://dx.doi.org/10.1007/978-4-431-55891-0.

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33

Montero, José-María, Gema Fernández-Avilés, and Jorge Mateu. Spatial and Spatio-Temporal Geostatistical Modeling and Kriging. Chichester, UK: John Wiley & Sons, Ltd, 2015. http://dx.doi.org/10.1002/9781118762387.

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34

Sapkota, Prakash Raj. Crop productivity in Nepal: Spatial and temporal dimensions. [Kathmandu?: Winrock Project?], 1986.

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35

Cressie, Noel A. C. Statistics for spatio-temporal data. Hoboken, N.J: Wiley, 2011.

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36

Hooper, Nancy J. Temporal and spatial analyses of civil marine satellite requirements. Rockville, MD: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Environmental Satellite, Data, and Information Service, 1986.

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37

DeLiberty, Tracy L. Spatial and temporal variability of soil moisture in Oklahoma. Elmer, N.J: C.W. Thornthwaite Associates, Laboratory of Climatology, 1994.

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38

Heber, Bernd, Jószef Kóta, and R. von Steiger. Cosmic rays in the heliosphere: Temporal and spatial variations. Edited by International Space Science Institute. New York: Springer, 2014.

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39

Åhas, Rein. Spatial and temporal variability of phenological phases in Estonia. Tartu: Tartu University Press, 1999.

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40

Blangiardo, Marta. Spatial and spatio-temporal Bayesian models with R-INLA. Chichester, West Sussex: John Wiley and Sons, Inc., 2015.

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41

Location, transport and land-use: Modelling spatial-temporal information. Berlin: Springer, 2005.

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42

Blangiardo, Marta, and Michela Cameletti. Spatial and Spatio-temporal Bayesian Models with R-INLA. Chichester, UK: John Wiley & Sons, Ltd, 2015. http://dx.doi.org/10.1002/9781118950203.

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43

Ni, Bingjian. Temporal, spatial and pulse instabilities of the Gulf Stream. Woods Hole, Mass: Woods Hole Oceanographic Institution, 1996.

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44

V, Zidek James, ed. Spatio-temporal methods in environmental epidemiology. Boca Raton: CRC Press, Taylor & Francis Group, 2016.

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45

Spatial Temporal Information Systems. Taylor & Francis Inc, 2013.

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46

Stock, O. Spatial and Temporal Reasoning. Springer, 1998.

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47

Colaresi, Michael, and Jude C. Hays. Spatial and Temporal Interdependence. Oxford University Press, 2017. http://dx.doi.org/10.1093/acrefore/9780190846626.013.301.

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Abstract:
Time and space are two dimensions that are likely to provide the paths—either singly or in tandem—by which international policy decisions are interdependent. There are several reasons to expect international relations processes to be interdependent across space, time, or both dimensions. Theoretical approaches such as rational expectations models, bureaucratic models of decision-making, and psychological explanations of international phenomena at least implicitly assume—and in many cases explicitly predict—dependence structures within data. One approach that researchers can use to test whether their international processes of interest are marked by dependence across time, space, or both time and space, is to explicitly model and interpret the hypothesized underlying dependence structures. There are two areas of spatial modeling at the research frontier: spatial models with qualitative and limited dependent variables, an co-evolution models of structure and behavior. These models have theoretical implications that are likely to be useful for international relations research. However, a gap remains between the kinds of empirical models demanded by international relations data and theory and the supply of time series and spatial econometric models that are available to those doing applied research. There is a need to develop appropriate models of temporal and spatial interdependence for qualitative and limited dependent variables, and for better models in which outcomes and structures of interdependence are jointly endogenous.
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48

Oliviero, Stock, ed. Spatial and temporal reasoning. Dordrecht: Kluwer Academic Publishers, 1997.

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49

Li, Guangquan, and Robert P. Haining. Modelling Spatial and Spatial-Temporal Data: A Bayesian Approach. Taylor & Francis Group, 2020.

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50

Vittoria, Giuliani Maria, ed. Home: Social, temporal and spatial aspects. San Giuliano Milanese: Progette Finalizatto Edilizia, 1992.

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