Books on the topic 'Spatial data and applications'

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1

Sibley, David. Spatial applications of exploratory data analysis. Norwich: Geo Books, 1988.

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2

N, Boots B., and Sugihara Kōkichi 1948-, eds. Spatial tessellations: Concepts and applications of Voronoi diagrams. Chichester, England: Wiley, 1992.

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3

Stillwell, John C. H. Technologies for migration and commuting analysis: Spatial interaction data applications. Hershey, PA: Business Science Reference, 2010.

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4

Oort, Pepijn van. Spatial data quality: From description to application. Delft: NCG, Nederlandse Commissie voor Geodesie, 2005.

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5

Albert, Donald Patrick, and G. Rebecca Dobbs. Emerging methods and multidisciplinary applications in geospatial research. Hershey PA: Information Science Reference, 2013.

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6

Samet, Hanan. Applications of spatial data structures: Computer graphics, image processing, and GIS. Reading, Mass: Addison-Wesley, 1990.

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7

Diaz, Laura, and Carlos Granell. Discovery of geospatial resources: Methodologies, technologies, and emergent applications. Hershey PA: Information Science Reference, 2012.

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8

Fischer, Manfred M. Handbook of Applied Spatial Analysis: Software Tools, Methods and Applications. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2010.

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9

Zoran, Stančič, and Veljanovski Tatjana, eds. Computing archaeology for understanding the past: CAA 2000 : computer applications and quantitative methods in archaeology : proceedings of the 28th Conference, Ljubljana, April 2000. Oxford, England: Archaeopress, 2001.

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10

Centre national d'études spatiales (France)., ed. Systèmes informatiques temps réel pour les applications spatiales =: Real-time embedded processing for space applications. Toulouse: Cépaduès, 1993.

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11

Lakshmanan, Valliappa. Automating the Analysis of Spatial Grids: A Practical Guide to Data Mining Geospatial Images for Human & Environmental Applications. Dordrecht: Springer Netherlands, 2012.

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12

Kennelly, Patrick. Development of an Internet mapping applications to allow spatial queries and data extration from the MBMG abandoned--interactive mine database. Butte, Mont: Montana University System, Water Resources Center, 2002.

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13

Wenji, Zhao, ed. Di biao kong jian shu zi mo ni li lun fang fa ji ying yong: Theory, methods and application for digital simulation of earth surface space. Beijing: Ce hui chu ban she, 2010.

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14

Schurr, Karen M. Documentation of a spatial data-base management system for monitoring pesticide application in Washington. Tacoma, Wash: U.S. Dept. of the Interior, U.S. Geological Survey, 1994.

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15

Schurr, Karen M. Documentation of a spatial data-base management system for monitoring pesticide application in Washington. Tacoma, Wash: U.S. Dept. of the Interior, U.S. Geological Survey, 1994.

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16

Kuhn, Werner. Spatial information theory: Foundations of geographic information science ; international conference ; proceedings. Berlin: Springer, 2003.

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17

Lewis, David J. A spatial econometric analysis of land-use change with land cover trends data: An application to the Pacific Northwest. Portland, OR: U.S. Dept. of Agriculture, Pacific Northwest Research Station, 2014.

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18

Dwyer, John L. Spatial analysis of geochemical and geologic information from the Tonopah 1⁰ x 2⁰ quadrangle, Nevada: Experimental application of a geographic information system to the analysis and mapping of information used in a typical mineral resource assessment. [Washington, D.C.]: U.S. G.P.O., 1992.

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19

An introduction to web mapping & geospatial web services. North Charleston: CreateSpace Independent Publishing Platform, 2015.

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20

Patanè, Giuseppe, and Michela Spagnuolo, eds. Heterogeneous Spatial Data. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-031-02589-1.

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21

Mamoulis, Nikos. Spatial Data Management. Cham: Springer International Publishing, 2012. http://dx.doi.org/10.1007/978-3-031-01884-8.

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22

Li, Deren, Shuliang Wang, and Deyi Li. Spatial Data Mining. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-48538-5.

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23

Oliver, Dev. Spatial Network Data. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39621-7.

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24

Fischer, Manfred M., and Jinfeng Wang. Spatial Data Analysis. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21720-3.

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25

Fisher, Peter F., and Michael F. Goodchild. Spatial Data Quality. Edited by Wenzhong Shi. Abingdon, UK: Taylor & Francis, 2002. http://dx.doi.org/10.4324/9780203303245.

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26

Mamoulis, Nikos. Spatial data management. San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA): Morgan & Claypool, 2012.

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27

Wenzhong, Shi, Goodchild Michael F, and Fisher Peter, eds. Spatial data quality. London: Taylor & Francis, 2002.

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28

Kalogirou, Stamatis. Spatial Data Analysis in Practice: Applications with R. Independently Published, 2018.

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29

3-D Global Spatial Data Model: Principles and Applications, Second Edition. Taylor & Francis Group, 2017.

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30

Yamagata, Yoshiki, and Hajime Seya. Spatial Analysis Using Big Data: Methods and Urban Applications. Elsevier Science & Technology Books, 2019.

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31

Weng, Qihao, and Yuhong He. High Spatial Resolution Remote Sensing: Data, Analysis, and Applications. Taylor & Francis Group, 2018.

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32

Weng, Qihao, and Yuhong He. High Spatial Resolution Remote Sensing: Data, Analysis, and Applications. Taylor & Francis Group, 2018.

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33

Burkholder, Earl F. 3-D Global Spatial Data Model: Principles and Applications. Taylor & Francis Group, 2020.

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34

Weng, Qihao, and Yuhong He. High Spatial Resolution Remote Sensing: Data, Analysis, and Applications. Taylor & Francis Group, 2018.

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35

Yamagata, Yoshiki, and Hajime Seya. Spatial Analysis Using Big Data: Econometrical Methods and Applications. Elsevier Science & Technology, 2019.

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36

Weng, Qihao, and Yuhong He. High Spatial Resolution Remote Sensing: Data, Analysis, and Applications. Taylor & Francis Group, 2018.

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37

Li, Deren, Shuliang Wang, and Deyi Li. Spatial Data Mining: Theory and Application. Springer London, Limited, 2016.

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38

Li, Deren, Shuliang Wang, and Deyi Li. Spatial Data Mining: Theory and Application. Springer, 2016.

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39

Li, Deren, Shuliang Wang, and Deyi Li. Spatial Data Mining: Theory and Application. Springer, 2018.

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40

Boots, Barry, Kokichi Sugihara, Sung Nok Chiu, and Atsuyuki Okabe. Spatial Tessellations: Concepts and Applications of Voronoi Diagrams. Wiley & Sons, Limited, John, 2008.

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41

Zimányi, Esteban, and Elzbieta Malinowski. Advanced Data Warehouse Design: From Conventional to Spatial and Temporal Applications. Springer London, Limited, 2008.

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42

Zimányi, Esteban, and Elzbieta Malinowski. Advanced Data Warehouse Design: From Conventional to Spatial and Temporal Applications. Springer, 2010.

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43

Stillwell, John C. H. 1952-, ed. Technologies for migration and population analysis: Spatial interaction data applications. Hershey, PA: Information Science Reference, 2010.

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44

Kanevski, Mikhail, Vadim Timonin, and Alexi Pozdnukhov. Machine Learning for Spatial Environmental Data: Theory, Applications, and Software. Taylor & Francis Group, 2009.

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45

Patanè, Giuseppe, and Michela Spagnuolo. Heterogeneous Spatial Data: Fusion, Modeling, and Analysis for GIS Applications. Morgan & Claypool Publishers, 2016.

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46

Patanè, Giuseppe, and Michela Spagnuolo. Heterogeneous Spatial Data: Fusion, Modeling, and Analysis for GIS Applications. Morgan & Claypool Publishers, 2016.

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47

Kanevski, Mikhail, Vadim Timonin, and Alexi Pozdnukhov. Machine Learning for Spatial Environmental Data: Theory, Applications, and Software. Taylor & Francis Group, 2009.

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48

Patanè, Giuseppe, and Michela Spagnuolo. Heterogeneous Spatial Data: Fusion, Modeling, and Analysis for GIS Applications. Springer International Publishing AG, 2016.

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49

Stillwell, John C. H. 1952-, Duke-Williams Oliver, and Dennett Adam, eds. Technologies for migration and population analysis: Spatial interaction data applications. Hershey, PA: Information Science Reference, 2010.

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50

Kanevski, Mikhail, Vadim Timonin, and Alexi Pozdnukhov. Machine Learning for Spatial Environmental Data: Theory, Applications, and Software. Taylor & Francis Group, 2009.

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