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Books on the topic 'Mapping of data usage'

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Published: 7 July 2024

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1

Pfeil, Buttenfield Barbara, ed. Mapping data quality. Toronto: University of Toronto Press, 1993.

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2

Kromer, Mark. Mapping Data Flows in Azure Data Factory. Berkeley, CA: Apress, 2022. http://dx.doi.org/10.1007/978-1-4842-8612-8.

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3

Kanevski, Mikhail, ed. Advanced Mapping of Environmental Data. London, UK: ISTE, 2008. http://dx.doi.org/10.1002/9780470611463.

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4

Mair, John. Data journalism: Mapping the future. Bury St Edmunds: Abramis, 2013.

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5

National Research Council (U.S.). Committee on Floodplain Mapping Technologies. Elevation data for floodplain mapping. Washington, DC: National Academies Press, 2007.

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6

Kythe, Prem K. Computational conformal mapping. Boston: Birkhäuser Boston, 1998.

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7

Liu, Bing. Web data mining: Exploring hyperlinks, contents, and usage data. 2nd ed. Heidelberg: Springer, 2011.

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8

Hartemink, Alfred E., Alex McBratney, and Maria de Lourdes Mendonça-Santos, eds. Digital Soil Mapping with Limited Data. Dordrecht: Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-8592-5.

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9

1964-, Hartemink Alfred E., McBratney A. B, and Mendonça-Santos Maria de Lourdes, eds. Digital soil mapping with limited data. Dordrecht: Springer, 2008.

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10

United States. National Aeronautics and Space Administration., ed. Some issues in data model mapping. Lafayette, La: University of Southwestern Louisiana, Center for Advanced Computer Studies, 1989.

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11

Canada. Dept. of Fisheries and Oceans. Multidimensional Data Display by Nonlinear Mapping. S.l: s.n, 1986.

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12

A, Bartlette Roberta, and Intermountain Research Station (Ogden, Utah), eds. Monitoring vegetation greenness with satellite data. Ogden, UT (324 25th St. Ogden 84401): U.S. Dept. of Agriculture, Forest Service, Intermountain Research Station, 1993.

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13

Burgan, Robert E. Monitoring vegetation greenness with satellite data. Ogden, UT: U.S. Dept. of Agriculture, Forest Service, Intermountain Research Station, 1993.

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14

Pazner, Micha. Simple computer imaging and mapping. London, Ontario, Canada: ThinkSpace, 1994.

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15

United States. National Bureau of Standards. Password usage. [Washington, D.C.?]: U.S. Department of Commerce, National Bureau of Standards, 1985.

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16

Reilly, Kevin T. Computer usage: Establishment level determinants. Toronto: York University, Dept. of Economics, 1994.

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17

Reilly, Kevin T. Computer usage: Establishment level determinants. Toronto, Ont: Dept. of Economics, York University, 1994.

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18

Whitener, Angela. Mapping with Microsoft Office. Santa Fe, NM: OnWord Press, 1997.

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19

Paskevich, Valerie F. Conversion of raster image data to vector cartographic data. Reston, VA: U.S. Geological Survey, 1991.

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20

Pucci, Paola, Fabio Manfredini, and Paolo Tagliolato. Mapping Urban Practices Through Mobile Phone Data. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14833-5.

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21

H. M. Cruz, Eduardo, Matthias Diener, and Philippe O. A. Navaux. Thread and Data Mapping for Multicore Systems. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91074-1.

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22

Montalvo, Uta Wehn de. Mapping the determinants of spatial data sharing. Aldershot: Ashgate, 2003.

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23

J, Schensul Jean, ed. Mapping social networks, spatial data & hidden populations. Walnut Creek, Calif: AltaMira Press, 1999.

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24

W, Zuerndorfer B., and United States. National Aeronautics and Space Administration., eds. Mapping freeze/thaw boundaries with SMMR data. Ann Arbor, MI: Radiation Laboratory, Dept. of Electrical Engineering and Computer Science, University of Michigan, 1989.

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25

Bangladesh Flood Action Plan. Environmental Study (Team) and Irrigation Support Project for Asia and the Near East., eds. GIS mapping of BWDB flood forecasting data. Arlington, Viginia: Irrigation Support Project for Asia and the Near East, 1994.

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26

Erle, Schuyler. Mapping Hacks. Edited by Simon St Laurent. Beijing: O'Reilly Media, 2005.

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27

C, Guptill Stephen, Morrison Joel L, and International Cartographic Association, eds. Elements of spatial data quality. Oxford, U.K: Elsevier Science, 1995.

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28

Ilg, Markus. Digital processing of map data in raster format. Zürich: Geographisches Institut, Eidgenössische Technische Hochschule, 1986.

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29

Geological Survey (U.S.), ed. USGS mapping partnerships. [Reston, Va.?]: U.S. Dept. of the Interior, U.S. Geological Survey, 1993.

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30

R, Block Carolyn, Dabdoub Margaret, Fregly Suzanne, and Illinois Criminal Justice Information Authority., eds. Crime analysis through computer mapping. Washington, D.C: Police Executive Research Forum, 1995.

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31

Rabbani, Faraz. Big data analytics for beginners. [India]: Crux Tech Limited, 2014.

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32

Geological Survey (U.S.), ed. Converting contour-line data into data sets for a multilayered aquifer using a Geographic Information System. Tucson, Ariz: U.S. Dept. of the Interior, U.S. Geological Survey, 1999.

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33

Wich, Serge A., and Lian Pin Koh. Conservation Drones. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198787617.001.0001.

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Abstract:
In this book, we introduce the use of drones for wildlife conservation. We provide a broad overview of when drone technology can be useful for wildlife conservation before going into the different types of drones that are available and the basic configuration of such systems. After this we discuss the various types of sensors that are being used to obtain data and the various applications for those sensors by us and others. We discuss the various applications of sensors and discuss research that we and others have conducted with those. The usage of drones for surveillance is discussed as well with a particular focus on poaching and other illegal activities. Drones are commonly used for mapping areas and we provide an overview of considerations for mapping missions as well as on how to process the data collected during mapping missions into products. We discuss examples such as the creation of orthomosaics and digital surface models, and their use in land cover classification and for object detection. We also provide an overview of how drones have been used to count animals and derive distribution and density from such data. We end with some thoughts on the future of drones.
34

Wich, Serge A., and Lian Pin Koh. Deciding to use a drone. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198787617.003.0001.

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Abstract:
In this chapter a brief introduction is given on three main aspects that drones are used for: detecting animals; land-cover mapping; and anti-poaching. Then the chapter focuses on which considerations are important to take into account when deciding to start applying drones for conservation. The chapter starts by providing an overview of alternative aerial data collection technologies. Deciding which technology to use for data gathering is not always straightforward and will likely depend on multiple factors. An overview is given of some aspects that are important to consider when starting the process of thinking about data collection. Then a discussion follows about which equipment and infrastructural needs are important to consider when using drones and the chapter ends by discussing some general considerations related to the usage of drones for conservation.
35

Data Mapping for Data Warehouse Design. Elsevier, 2016. http://dx.doi.org/10.1016/c2015-0-04423-9.

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36

Shahbaz, Qamar. Data Mapping for Data Warehouse Design. Elsevier, 2015.

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37

Shahbaz, Qamar. Data Mapping for Data Warehouse Design. Elsevier Science & Technology Books, 2015.

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38

Elevation Data for Floodplain Mapping. Washington, D.C.: National Academies Press, 2007. http://dx.doi.org/10.17226/11829.

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39

Mapping and Analysing Crime Data. Routledge, 2003. http://dx.doi.org/10.4324/9780203305867.

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40

Kanevski, Mikhail. Advanced Mapping of Environmental Data. Wiley & Sons, Incorporated, John, 2013.

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41

Committee on Floodplain Mapping Technologies, Board on Earth Sciences and Resources, Division on Earth and Life Studies, and National Research Council. Elevation Data for Floodplain Mapping. National Academies Press, 2007.

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42

Committee on Floodplain Mapping Technologies, Board on Earth Sciences and Resources, Division on Earth and Life Studies, and National Research Council. Elevation Data for Floodplain Mapping. National Academies Press, 2007.

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43

Bowers, Kate, and Alex Hirschfield. Mapping and Analysing Crime Data. Taylor & Francis Group, 2019.

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44

Kanevski, Mikhail. Advanced Mapping of Environmental Data. Wiley & Sons, Incorporated, John, 2010.

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45

Committee on Floodplain Mapping Technologies, Board on Earth Sciences and Resources, Division on Earth and Life Studies, and National Research Council. Elevation Data for Floodplain Mapping. National Academies Press, 2007.

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46

Kanevski, Mikhail. Advanced Mapping of Environmental Data. Wiley & Sons, Incorporated, John, 2013.

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47

Plantin, Jean-Christophe. Participatory Mapping. Wiley & Sons, Incorporated, John, 2014.

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48

Redbooks, IBM. Cicsvr Usage Guide. Ibm, 2002.

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49

Liu, Bing. Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data. Springer, 2011.

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50

Liu, Bing. Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data. Springer, 2011.

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