Computing for Geographers PDF Download

Author: John A. Dawson
Publisher:
ISBN: 9780844808710
Category : Computers
Languages : en
Pages : 362

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Author: John A. Dawson
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 372

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Author: David J. Maguire
Publisher: Longman Scientific and Technical
ISBN:
Category : Science
Languages : en
Pages : 282

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Book Description
Maguire (geography, U. of Leicester) explains how geographers can enhance their work by using computers. Assumes little knowledge of computers. Begins with an overview of computers in the field, then continues with coverage of how they can be used in each of the major stages of the process of geographical explanation, covering data collection, storage, management, analysis, and presentation. Annotation copyrighted by Book News, Inc., Portland, OR

Author: Paul M. Mather
Publisher: John Wiley & Sons
ISBN:
Category : Science
Languages : en
Pages : 280

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Book Description
Computer Applications in Geography Paul M. Mather Department of Geography, University of Nottingham, England Geography graduates are expected to be computer literate, yet the literature on computing is often inaccessible to them. This book is intended for undergraduate students of geography who wish to familiarise themselves with the terminology of computers and to read about the ways in which computers are presently being used in geography. It assumes no prior knowledge of computers and no mathematical skills beyond those possessed by the average layman. The first two chapters form a technical introduction to computers and data. The remaining five chapters are devoted to individual topics representing a selection of the main areas of computer use in geography and show how computers can be used to acquire, process and display geographical data. Worked examples, with example data sets, are given for three program packages that are widely used by geographers--SPSS, SYMAP and GIMMS. The book is comprehensive in its coverage of the major areas of computer applications and will be of interest to geographers dealing with statistics, digital cartography, remote sensing, geographical information systems and simulation models.

Author: Stan Openshaw
Publisher: Routledge
ISBN: 1134729723
Category : Science
Languages : en
Pages : 304

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Book Description
Stan Openshaw is recognised as a leading researcher in the field and has strong teaching experience (Leeds is the leading institution for GIS and technical areas at the present) includes a wealth of real-world application examples strong international library market - GIS, Spatial Analysis, computer programming are all strong topics globally no real competition in this particular area of programming should appeal to computer scientists, social scientists as well as geographers.

Author: Robin Lovelace
Publisher: CRC Press
ISBN: 1351396900
Category : Mathematics
Languages : en
Pages : 335

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Book Description
Geocomputation with R is for people who want to analyze, visualize and model geographic data with open source software. It is based on R, a statistical programming language that has powerful data processing, visualization, and geospatial capabilities. The book equips you with the knowledge and skills to tackle a wide range of issues manifested in geographic data, including those with scientific, societal, and environmental implications. This book will interest people from many backgrounds, especially Geographic Information Systems (GIS) users interested in applying their domain-specific knowledge in a powerful open source language for data science, and R users interested in extending their skills to handle spatial data. The book is divided into three parts: (I) Foundations, aimed at getting you up-to-speed with geographic data in R, (II) extensions, which covers advanced techniques, and (III) applications to real-world problems. The chapters cover progressively more advanced topics, with early chapters providing strong foundations on which the later chapters build. Part I describes the nature of spatial datasets in R and methods for manipulating them. It also covers geographic data import/export and transforming coordinate reference systems. Part II represents methods that build on these foundations. It covers advanced map making (including web mapping), "bridges" to GIS, sharing reproducible code, and how to do cross-validation in the presence of spatial autocorrelation. Part III applies the knowledge gained to tackle real-world problems, including representing and modeling transport systems, finding optimal locations for stores or services, and ecological modeling. Exercises at the end of each chapter give you the skills needed to tackle a range of geospatial problems. Solutions for each chapter and supplementary materials providing extended examples are available at https://geocompr.github.io/geocompkg/articles/. Dr. Robin Lovelace is a University Academic Fellow at the University of Leeds, where he has taught R for geographic research over many years, with a focus on transport systems. Dr. Jakub Nowosad is an Assistant Professor in the Department of Geoinformation at the Adam Mickiewicz University in Poznan, where his focus is on the analysis of large datasets to understand environmental processes. Dr. Jannes Muenchow is a Postdoctoral Researcher in the GIScience Department at the University of Jena, where he develops and teaches a range of geographic methods, with a focus on ecological modeling, statistical geocomputing, and predictive mapping. All three are active developers and work on a number of R packages, including stplanr, sabre, and RQGIS.

Author: Narayan Panigrahi
Publisher: CRC Press
ISBN: 1482223147
Category : Mathematics
Languages : en
Pages : 311

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Book Description
Capable of acquiring large volumes of data through sensors deployed in air, land, and sea, and making this information readily available in a continuous time frame, the science of geographical information system (GIS) is rapidly evolving. This popular information system is emerging as a platform for scientific visualization, simulation, and computation of spatio-temporal data. New computing techniques are being researched and implemented to match the increasing capability of modern-day computing platforms and easy availability of spatio-temporal data. This has led to the need for the design, analysis, development, and optimization of new algorithms for extracting spatio-temporal patterns from a large volume of spatial data. Computing in Geographic Information Systems considers the computational aspects, and helps students understand the mathematical principles of GIS. It provides a deeper understanding of the algorithms and mathematical methods inherent in the process of designing and developing GIS functions. It examines the associated scientific computations along with the applications of computational geometry, differential geometry, and affine geometry in processing spatial data. It also covers the mathematical aspects of geodesy, cartography, map projection, spatial interpolation, spatial statistics, and coordinate transformation. The book discusses the principles of bathymetry and generation of electronic navigation charts. The book consists of 12 chapters. Chapters one through four delve into the modeling and preprocessing of spatial data and prepares the spatial data as input to the GIS system. Chapters five through eight describe the various techniques of computing the spatial data using different geometric and statically techniques. Chapters nine through eleven define the technique for image registration computation and measurements of spatial objects and phenomenon. Examines cartographic modeling and map projection Covers the mathematical aspects of different map projections Explores some of the spatial analysis techniques and applications of GIS Introduces the bathymetric principles and systems generated using bathymetric charts Explains concepts of differential geometry, affine geometry, and computational geometry Discusses popular analysis and measurement methods used in GIS This text outlines the key concepts encompassing GIS and spatio-temporal information, and is intended for students, researchers, and professionals engaged in analysis, visualization, and estimation of spatio-temporal events.

Author: David John Unwin
Publisher: Longman Publishing Group
ISBN:
Category : Reference
Languages : en
Pages : 272

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Author: Marc van Kreveld
Publisher: Lecture Notes in Computer Science
ISBN:
Category : Computers
Languages : en
Pages : 312

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Book Description
This state-of-the-art tutorial brings together current research and development on Geographic Information Systems. In nine chapters, the authors present a unique survey, ranging from the history and basic characteristics, to current issues of precision and robustness of geometric computing.

Author: David O'Sullivan
Publisher: Guilford Publications
ISBN: 146255394X
Category : Social Science
Languages : en
Pages : 331

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Book Description
Geographic information science (GISc) and systems (GIS) have grown rapidly in recent decades, increasingly on a separate track from geographic thought. As geography's "big ideas"--such as space, place, boundaries, scale, process, and relationality--have evolved, what does this mean for their computational representation? This book considers how key concepts have developed in geography and are represented (or not) in GISc, with a view to bridging gaps between the two. David O'Sullivan shows how revisiting the theoretical underpinnings of geography offers insights on enduring GIS challenges--including map projections, the modifiable areal unit problem, scale and map generalization, and the nature of space and place--while also enriching geographic thought. The book uses examples from across geography's subdisciplines to promote understanding. Chapters are self-contained essays that can easily form the basis of classroom discussions. The companion website provides the figures, code to produce versions of selected figures, updated web links, and other resources.