Learning Geospatial Analysis with Python second 第2版 0分

Paperback: 394 pagesPublisher: Packt Publishing; 2nd Revised edition edition (December 31, 2015)Language: EnglishISBN-10: 1783552425ISBN-13: 978-1783552429An effective guide to geographic information systems and remote sensing analysis using Python 3About This BookConstruct applications forLearning Geospatial Analysis with PythonSecond editionCopyright@ 2015 Packt PublishingAll rights reserved. No part of this book may be reproduced, stored in a retrievalsystem, or transmitted in any form or by any means, without the prior writtenpermission of the publisher, except in the case of brief quotations embedded incritical articles or reviewsEvery effort has been made in the preparation of this book to ensure the accuracyof the information presented. However, the information contained in this book issold without warranty, either express or implied. Neither the author, nor PacktPublishing, and its dealers and distributors will be held liable for any damagescaused or alleged to be caused directly or indirectly by this bookPackt Publishing has endeavored to provide trademark information about all of thecompanies and products mentioned in this book by the appropriate use of capitalsHowever, Packt Publishing cannot guarantee the accuracy of this information.First published: October 2013Second edition December 2015Production reference: 1211215Published by Packt Publishing LtdLivery place35 Livery streetBirmingham b3 2PB, UKISBN978-1-78355-242-9www.packtpub.comCreditsAuthorProject CoordinatorJoel lawheadizzat contractorReviewersProofreaderMark cederholmSafis EditingTruc viet leJohn maurerIndexerMariamman chettiyarJulia woodGraphicsCommissioning EditorJason monteiroKartikey PandeyProduction coordinatorAcquisition EditorsArvindkumar GuptaKevin colacoUsha lyerCover workKartikey PandeyArvindkumar GuptaContent Development EditorAnish SukumaranTechnical editorManthan rajaCopy EditorTasneem fatehiAbout the authorJoel Lawhead is a project management institute-certified Project ManagementProfessional(PMP), certified GIS Professional(GISP), and the Chief InformationOfficer(CIO)of NVision Solutions Inc, an award-winning firm that specializes ingeospatial technology integration and sensor engineeringJoel began using Python in 1997 and started combining it with geospatial softwaredevelopment in 2000. He is the author of the first edition of learning geospatialAnalysis with Python and QGIS Python Programming Cookbook both by PacktPublishing. His Python cookbook recipes were featured in two editions of pythonCookbook, O'Reilly Media. He is also the developer of the widely-used, open sourcePython Shapefile Library(PyShp) He maintains the geospatial technical bloghttp://geospatialpython.comandtheTwitterfeed@spaTialpython,whichdiscusses the use of the Python programming language in the geospatial industryIn 2011, Joel reverse-engineered and published the undocumented shapefile spatialindexing format and assisted fellow geospatial Python developer, Marc Pfister,in reversing the algorithm used, allowing developers around the world to createbetter-integrated and more robust geospatial applicationsJoel serves as the lead architect, project manager, and co-developer for geospatialapplications used by U.S. government agencies, including NASA, FEMA, NOAA,the U.s. Navy, and many other commercial and non-profit organizations. In 2002,he received the international Esri Special Achievement in GIS award for his workon the real-Time Emergency Action Coordination Tool (REACT), for emergencymanagement using geospatial analysisAbout the reviewersMark Cederholm, GISP, has over 20 years of experience in developing gisapplications using various Esri technologies, from ARC/INFO AML to ArcObjectsto ArcGis Runtime and Web SDKs. He lives in Flagstaff, ArizonaHe has been a technical reviewer for the book, Developing Mobile Web arcGisApplications, Packt PublishingTruc Viet Le is currently a Phd candidate in information systems at theSingapore management university. His research interests primarily involvenovel methods for the modeling and predicting of human mobility patterns andtrajectories, learning smart strategies for urban transportation, and traffic flowprediction from fine-grained GPS and sensor network data. He uses R and Pythonevery day for his work, where he finds R superb for data manipulation/visualizationand python an ideal environment for machine learning tasks. He is also interestedin applying data science for the social work and international development workWhen not behind the computer screen, he is an avid traveler, adventurer, and anaspiring travel writer and photographer. His work portfolio and some of his writingscanbefoundonhispersonalwebsiteathttp://vietletruc.comHle spent a wonderful year at Carnegie mellon university in pittsburghPennsylvania, while pursuing his PhD. Previously, he obtained his bachelor's andmaster's degrees from Nanyang Technological University in computer engineeringand mathematical sciencesJohn Maurer is a programmer and data manager at the Pacific islands OceanObserving System(PaclooS)in Honolulu, Hawaii. He creates and configureseb interfaces and data services to provide access, visualization, and mapping ofoceanographic data from a variety of sources, including satellite remote sensing,forecast models, GIS layers, and in situ observations(buoys, sensors, shark tracking,and so on) throughout the insular Pacific. He obtained a graduate certificate inremote sensing as well as a master's degree in geography from the University ofColorado, Boulder, where he developed software to analyze ground-penetratingradar(GPR) for snow accumulation measurements on the grecnland ice sheet. whilein Boulder, he worked with the National Snow and Ice Data Center (NSIDC) foreight years, sparking his initial interest in Earth science and all things geospatial:anunexpected but comfortable detour from his undergraduate degree in music, scienceand technology at Stanford UniversityJulia wood is currently a Geospatial Information Sciences(GiS)analyst whospends her professional time completing projects as a contractor in the WashingtonD.C. area. She graduated magna cum laude from the University of mary Washingtonin Fredericksburg Virginia, in the spring of 2014 with a bachelor,'s degree in bothhistory and geography as well as a minor in GIS. Though her career is still in its earlystages, Julia has aspirations to keep growing her skill set, and working on this reviewhas certainly helped expand her professional experience; she hopes to continuelearning and eventually work toward a master's degree while still working full timeIn her non-work life, she enjoys reading, crafting, cooking and exploring the big city,one local restaurant at a timeReviewing this book for Packt Publishing was Julia's first professional reviewingexperience and she hopes that she can pursue similar endeavors in the futureI'd like to thank my parents, John and Diana, for always encouragingme to do well in my educational and professional endeavors mysister, Sarrina, and my brother, Jonathan, for offering supportand advice when i needed it; and my boyfriend, Max, and my catCoco, for keeping me company while I conducted the reviewsfor this book. a thank you to Packt for letting me be a part of thisexperience!Www.Packtpub.comSupport files, eBooks, discount offers, and moreForsupportfilesanddownloadsrelatedtoyourbookpleasevisitwww.packtpui.cOmDid you know that packt offers e Book versions of every book published, with PDFndepuBfilesavailableYoucanupgradetotheeboOkversionatwww.packtpub.Comand as a print book customer, you are entitled to a discount on the eBook copy. 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Simply use your login credentials forimmediate accessTable of contentsPrefaceChapter 1: Learning Geospatial Analysis with PythonGeospatial analysis and our worldBeyond disasters4History of geospatial analysisGeographic information systemsRemote sensingElevation dataComputer-aided drafting18Geospatial analysis and computer programming18Object-oriented programming for geospatial analysis19Importance of geospatial analysis21Geographic information system concepts21Thematic maps22Spatial databases23Spatial indexing24Metadat24Map projections24Rendering26Remote sensing concepts27Images as data27Remote sensing and color28Common vector GIs concepts28Data structures28Buffer30Dissolve30GeneralizeIntersection32