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Livres sur le sujet « GIS method »

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Auteur : Grafiati

Publié le 14 mars 2023

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1

Institute, Environmental Systems Research, dir. Understanding GIS : The ARC/INFO method. 6^e éd. Harlow : LongmanScientific & Technical, 1993.

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2

David, Rhind, Connolly Teresa, Environmental Systems Research Institute (Redlands, Calif.) et Birbeck College, dir. Understanding GIS : The ARC/INFO method. Redlands, CA, USA : Environmental Systems Research Institute, 1994.

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3

Institute, Environmental Systems Research, dir. Understanding GIS : The ARC/INFO method. 6^e éd. Redlands : Environmental Systems Research Institute, 1992.

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4

Institute, Environmental Systems Research, dir. Understanding GIS : The ARC/INFO method. Redlands, California : Environmental Systems Research Institute, 1991.

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5

David, Rhind, Connolly Teresa, Environmental Systems Research Institute (Redlands, Calif.) et Birkbeck College, dir. Understanding GIS : The ARC/INFO method. Redlands, CA, USA : Environmental Systems Research Institute, 1990.

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6

Institute, Environmental Systems Research, dir. Understanding GIS : The ARC/INFO method. Redlands, California : Environmental Systems Research Institute, 1990.

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7

Institute, Environmental Systems Research, dir. Understanding GIS : The ARC/INFO method. Harlow, Essex, England : Longman Scientific and Technical, 1993.

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8

Institute, Environmental Systems Research, dir. Understanding GIS : The ARC/INFO method. [Redlands, Calif.] : Environmental Systems Research Institute, 1995.

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9

Institute, Environmental Systems Research, dir. Understanding GIS : The ARC/INFO method : self-study workbook. Redlands, Calif : ESRI, 1996.

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10

David, Rhind, Connolly Theresa, Environmnetal Systems Research Institute (Redlands, Calif.) et Birbeck College, dir. Understanding GIS : The ARC/INFO method : self-study workbook : PC version. Redlands, Calif : Environmental Systems Research Institute, 1995.

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11

1966-, Bogaert Patrick, et Serre Marc L. 1967-, dir. Temporal GIS : Advanced functions for field-based applications. Berlin : Springer, 2001.

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12

Institute, Environmental Systems Research, dir. Understanding GIS : The ARC/INFO method : self study workbook, version 7 for UNIX and OpenVMS. 3^e éd. Cambridge, U.K : GeoInformation International, 1995.

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13

Environmental Systems Research Institute (Redlands, Calif.), dir. Understanding GIS : The ARC/INFO method : self study workbook : version 7 for UNIX and OpenVMS. 3^e éd. Cambridge, U.K : GeoInformation International, 1995.

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14

Environmental Systems Research Institute (Redlands, Calif.), dir. Understanding GIS : The ARC/INFO method : self-study workbook : version 7.2 for UNIX and Windows NT. 4^e éd. Redlands, Calif : Environmental Systems Research Institute, 1997.

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15

Environmental Systems Research Institute (Redlands, Calif.), dir. Understanding GIS : The ARC/INFO method : self-study workbook : version 7.1 for UNIX and Windows NT. 4^e éd. Cambridge, U.K : GeoInformation International, 1997.

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16

Environmental Systems Research Institute (Redlands, Calif.), dir. Understanding GIS : The ARC/INFO method : self-study workbook : version 7.2 for UNIX and Windows NT. 4^e éd. Redlands, California : Environmental Systems Research Institute, 1997.

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17

GIS concepts and ArcGIS methods. 3^e éd. Fort Collins, Colo : Conservation Planning Technologies, 2007.

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18

J, Steinberg Steven, dir. GIS research methods : Incorporating spatial perspectives. Redlands, California : Esri Press, 2015.

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19

Lloyd, Christopher D. Spatial data analysis : An introduction for GIS users. Oxford : Oxford University Press, 2010.

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20

Kesoretskikh, Ivan, et Sergey Zotov. Landscape vulnerability : concept and assessment. ru : INFRA-M Academic Publishing LLC., 2019. http://dx.doi.org/10.12737/1045820.

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The monograph presents a methodology for assessing the vulnerability of landscapes to external influences. A comparative analysis of the concepts of "stability", "sensitivity", "vulnerability" in relation to natural complexes. An overview of existing methods for assessing the vulnerability of natural complexes is presented. The author's method of assessing the vulnerability of landscapes to anthropogenic impacts is described. The methodology is based on: selection and justification of criteria for assessing the vulnerability of landscapes; preparation of a parametric matrix and gradation of assessment criteria in accordance with the developed vulnerability classes; calculation of weighting factors of vulnerability assessment parameters; selection of optimal territorial operational unit for landscape vulnerability assessment. The method is implemented in the GIS environment "Assessment of vulnerability of landscapes of the Kaliningrad region to anthropogenic impacts", created by the authors using modern geoinformation products. The specificity of spatial differentiation of different landscapes in terms of vulnerability to anthropogenic impacts at the regional and local levels is revealed. It is stated that the use of the methodology for assessing the vulnerability of landscapes to anthropogenic impacts and its integration into the system of nature management will ensure a balanced account of geoecological features and environmental priorities in territorial planning. It is of interest to specialists in the field of rational nature management, environmental protection, spatial planning.

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21

Weng, Qihao. Remote sensing and GIS integration : Theories, methods, and applications. New York : McGraw-Hill, 2010.

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22

Köhl, Michael, Steen Magnussen et Marco Marchetti. Sampling Methods, Remote Sensing and GIS Multiresource Forest Inventory. Berlin, Heidelberg : Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/978-3-540-32572-7.

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23

Weng, Qihao. Remote sensing and GIS integration : Theories, methods, and applications. New York : McGraw-Hill, 2010.

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24

Weng, Qihao. Remote sensing and GIS integration : Theories, methods, and applications. New York : McGraw-Hill, 2010.

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25

Hydraulic modeling and GIS. Redlands, Calif : ESRI Press, 2011.

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26

Khamehchi, Ehsan, et Mohammad Reza Mahdiani. Gas Allocation Optimization Methods in Artificial Gas Lift. Cham : Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-51451-2.

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27

Lloyd, Christopher D. Spatial data analysis : An introduction for GIS users. Oxford : Oxford University Press, 2010.

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28

Gas processing : Environmental aspects and methods. Oxford [England] : Butterworth-Heinemann, 1993.

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29

König, Gerd. Entwicklung einer GIS-gestützten Methode klimaökologischer Standortbewertung am Beispiel Bremens. Bremen : Studiengang Geographie, Fachbereich 8, Universität Bremen, 1995.

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30

Glass, Gregory E. Applications of GIS technology to disease control. Baltimore, Md : Johns Hopkins University, School of Hygiene and Public Health, Dept. of Population Dynamics, 1993.

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31

Langlois, Patrice. Simulation of complex systems in GIS theory and applications. Hoboken, NJ : ISTE/John Wiley & Sons, 2010.

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32

Langlois, Patrice, et Patrice Langlois. Simulation of complex systems in GIS theory and applications. Hoboken, NJ : ISTE/John Wiley & Sons, 2010.

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33

Wadsworth, Richard. GIS for ecology : An introduction. Harlow : Addison Wesley Longman, 1999.

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34

Meagher, J. F. Methods for simulating gas phase SO. Research Triangle Park, NC : U.S. Environmental Protection Agency, Atmospheric Sciences Research Laboratory, 1985.

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35

Press, Editors of ESRI. Understanding GIS : The ARC/INFO Method. Esri Press, 1999.

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36

Understanding Gis the Arc Info Method : Work Station. Esri Pr, 1994.

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37

Press, Editors of ESRI. Understanding GIS : The ARC/INFO Method (PC Version). 2^e éd. Esri Press, 1990.

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38

Understanding Gis the Arc Info Method : Work Station. John Wiley & Sons Inc, 1997.

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39

Demers. Fund of GIS with ARC Info Method Set. John Wiley & Sons Inc, 1999.

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40

Understanding GIS : The ARC/INFO method : rev. 6 for workstations. Harlow, Essex, England : Longman Scientific and Technical, 1993.

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41

Institute, Environmental Systems Research. Understanding Gis : The Arc/Info Method : Rev. 6 for Workstations. Belhaven, 1993.

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42

ESRI. Understanding Gis, Understanding Gis Self-Study Workbook Version 7.1 Addendum : The Arc/Info Method Unix and Open Vms Version 7. John Wiley & Sons Inc, 1995.

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43

Esri. Understanding Gis : The Arc/Info Method : Version 7.1 for Unix and Windows Nt. John Wiley & Sons Inc, 1997.

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44

Uncovering Submerged Landscapes : Towards a GIS Method for Locating Submerged Archaeology in Southeast Alaska. British Archaeological Reports Limited, 2019.

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45

Christakos, George, Patrick Bogaert et Marc Serre. Temporal GIS : Advanced Functions for Field-Based Applications. Springer, 2013.

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46

Institute, Environmental Systems Research. Understanding Gis : The Arc Info Method : Self-Study Workbook : Version 7.1 for Unix and Windows Nt. 3^e éd. Esri Pr, 1995.

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47

Luc, Heres, dir. Time in GIS : Issues in spatio-temporal modelling. Nederlandse Commissie voor Geodesie, 2000. http://dx.doi.org/10.54419/v5m55p.

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Most Geographic Information Systems started as a substitute for loose paper maps. These paper maps did not have a built-in time dimension and could only represent history indirectly as a sequence of physically separate images. This was in fact imitated by these first generation systems. The time dimension could only be represented by means of separate files. A minority of Geographic Information Systems however, started their life as a substitute for ordered lists and tables with a link to paper maps. In these lists, the inclusion of a time com-ponent in the form of a data field was quite usual. This method too was copied by the systems that replaced these paper tables. The current trend in the development of Geographic Information Systems is towards the inte-gration of the classical map-oriented concepts with the table-oriented concepts. This often leads to the explicit embedding of the time component in the GIS environment. The Subcommission Geo-Information Models of the Netherlands Geodetic Commission has organized a workshop to discuss the theory and practice of time and history in GIS on 18 May 2000. This publication contains 6 articles prepared for the workshop. The first paper, written by Donna Peuquet, gives a bird’s-eye view of the current state of the art in spatio-temporal database technology and methodology. She is a well-known expert in the field of spatio-temporal information systems and the author of many articles in this field. The second article is written by Monica Wachowicz. She describes what you can do with a GIS once it contains a historical dimension and how you can detect changes in geographic phenomena. Furthermore, her article suggests how geographic visualisation and knowledge discovery techniques can be integrated in a spatio-temporal database. How to record the time dimension in a database is one thing, how to show this dimension to users is another one. In his contribution, Menno-Jan Kraak first tells about the techniques, which were used in the age of paper maps and the limitations these methods had. He goes on to explain what kind of cartographic techniques have been developed since the mass introduc-tion of the computer. Finally he describes the powerful animation methods which currently exist and can be used on CD-ROM and Internet applications. Peter van Oosterom describes how the time dimension is represented in the information sys-tems of the Cadastre and how this is used to publish updates. The Cadastre has a very long tradition in incorporating the time component, which has always been an inherent component of the cadastral registration. In former times this was translated in very precise procedures about how to update the paper maps and registers. Today it is translated in spatio-temporal database design. The article of Luc Heres tells about the time component in the National Road Database, origi-nally designed for traffic accident registration. This is one of the systems with ''table'' roots and with quite a long tradition in handling the time dimension. He elucidates first the core objects in the conceptual model and how time is added. Next, how this model is translated in a logical design and finally how this is technically implemented. Geologists and geophysicians also have a respectable tradition in handling the time dimension in the data they collect. This is illustrated in the last paper, which is written by Ipo Ritsema. He outlines how time is handled in geological and geophysical databases maintained by TNO. By means of some practical cases he illustrates which problems can be encountered and how these can be solved.

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Duncan, Dustin T., William C. Goedel et Rumi Chunara. Quantitative Methods for Measuring Neighborhood Characteristics in Neighborhood Health Research. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190843496.003.0003.

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Research connecting neighborhoods and health has characterized neighborhood factors in multiple ways. This chapter discusses standard and emerging methods to measure and study neighborhood characteristics. In particular, this chapter provides an overview of neighborhood characteristic assessment methods, including self-report, systematic social observation, geographic information system (GIS) methods, Web-based geospatial methods, real-time geospatial methods, crowd-sourced geospatial methods, and information retrieval methods from online sources such as Instagram and Twitter. This chapter also discusses the strengths and limitations of each neighborhood characteristic assessment method (e.g., ease of administration, validity), and readers are provided with examples of each neighborhood assessment method applied in the epidemiology and population health literature.

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49

Theobald, David M. GIS Concepts and ArcView Methods. Conservation Planning Technologies, Inc., 2001.

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GIS Concepts and ArcGIS Methods. Conservation Planning Technologies, Inc., 2003.

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