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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: Robin Lovelace
Publisher: CRC Press
ISBN: 1351396900
Category : Mathematics
Languages : en
Pages : 335
Get Book Here
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: Andrew Skidmore
Publisher: CRC Press
ISBN: 0203302214
Category : Technology & Engineering
Languages : en
Pages : 268
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Book Description
Most government agencies and private companies are investing significant resources in the production and use of geographical data. The capabilities of Geographical Information Systems (GIS) for data analysis are also improving, to the extent that the potential performance of GIS software and the data available for analysis outstrip the abilities of
Author: Fema
Publisher: Createspace Independent Publishing Platform
ISBN: 9781985833296
Category :
Languages : en
Pages : 52
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Book Description
Course Overview This independent study course prepares students to successfully assume the role and responsibilities of a Geospatial Information System (GIS) Specialist during a disaster situation. As they complete this course, students will learn how to use their GIS skills to support other members of a Joint Field Office (JFO) disaster response and recovery team and successfully meet the responsibilities assigned to them. Students will also learn what types of products need to be produced and what procedures must be followed to ensure that products are produced correctly and in a timely manner. Course Objectives: -Recognize the role a GIS Specialist performs while supporting a response and recovery operation -Identify likely sources of information and data within FEMA and the emergency management community -Identify the types of products commonly needed by FEMA programs and decision makers during an operation -Recognize best practices for establishing and maintaining data flow, products and timelines during an incident -Recognize how to appropriately handle and protect licensed, sensitive, or personal data -Recognize how to use Remote Sensing products Primary Audience This course is designed primarily for GIS Specialists newly employed with FEMA or other emergency response organizations. Students should already have a basic working knowledge of standard GIS software applications. Prerequisites Prior to completing this course, it is highly recommended that the student have: -Opened the Geospatial Information System Specialist (GISP) task book, or -Held the equivalent position in the NRCC/RRCC (when developed) Students must also have basic geospatial knowledge and skills, including: -Knowledge of how to make a map and other geospatial products -Knowledge of basic analytics -Knowledge of the basic fundamentals of cartography and geospatial terminology -The ability to use standard GIS software and equipment such as: -ESRI's ArcGIS software, including Spatial Analyst -Adobe products -Google Earth -Large format printers -Microsoft Office suite -Handheld GPS devices -Modeling and decision support software such as HAZUS -Computers Note: Students may come to FEMA with prior geospatial training and knowledge, or it may be developed through on-the-job training or courses.
Author: Mohan Sundara Rajan
Publisher:
ISBN:
Category : Earth resources technology satellites
Languages : en
Pages : 220
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Book Description
Author: G.B Shahapurmath
Publisher:
ISBN: 9789388020695
Category : Forests and forestry
Languages : en
Pages :
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Book Description
Author: Jeffrey L. Star
Publisher: Cambridge University Press
ISBN: 0521440327
Category : Science
Languages : en
Pages : 250
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Book Description
Applications of remote sensing and geographic information systems to resource management and environmental research.
Author:
Publisher: IICA Biblioteca Venezuela
ISBN:
Category :
Languages : en
Pages : 52
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Book Description
Author: Debashis Chakraborty & Rabi Sahoo
Publisher:
ISBN: 9788130900414
Category :
Languages : en
Pages : 258
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Book Description
This book is intended to be a basic-level textbook for the beginners and a reference book for GIS practitioners who use the system for their professional work. It tries to integrate the idea that GIS is for all. The book starts with the introduction of GIS and its various components and functionalities and goes on to cover map projection systems, different data models and data input, spatial analysis, and surface modeling aspects of GIS. Various data output and the integration of GIS with as a tool. It also contains a complete Glossary of terms and the abbreviations and acronyms frequently used in GIS.The book offers a step-by-step appreciation of Geographical Information Sciences as a discipline and Geographic Information System as a tool to understand the real world, to the one who strives to change the world in a better and more meaningful way.
Author: Martin Wegmann
Publisher: Pelagic Publishing Ltd
ISBN: 1784270245
Category : Science
Languages : en
Pages : 410
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Book Description
This is a book about how ecologists can integrate remote sensing and GIS in their daily work. It will allow ecologists to get started with the application of remote sensing and to understand its potential and limitations. Using practical examples, the book covers all necessary steps from planning field campaigns to deriving ecologically relevant information through remote sensing and modelling of species distributions. All practical examples in this book rely on OpenSource software and freely available data sets. Quantum GIS (QGIS) is introduced for basic GIS data handling, and in-depth spatial analytics and statistics are conducted with the software packages R and GRASS. Readers will learn how to apply remote sensing within ecological research projects, how to approach spatial data sampling and how to interpret remote sensing derived products. The authors discuss a wide range of statistical analyses with regard to satellite data as well as specialised topics such as time-series analysis. Extended scripts on how to create professional looking maps and graphics are also provided. This book is a valuable resource for students and scientists in the fields of conservation and ecology interested in learning how to get started in applying remote sensing in ecological research and conservation planning.
Author: Mark Gillings
Publisher: Routledge
ISBN: 1351243845
Category : Social Science
Languages : en
Pages : 484
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Book Description
Effective spatial analysis is an essential element of archaeological research; this book is a unique guide to choosing the appropriate technique, applying it correctly and understanding its implications both theoretically and practically. Focusing upon the key techniques used in archaeological spatial analysis, this book provides the authoritative, yet accessible, methodological guide to the subject which has thus far been missing from the corpus. Each chapter tackles a specific technique or application area and follows a clear and coherent structure. First is a richly referenced introduction to the particular technique, followed by a detailed description of the methodology, then an archaeological case study to illustrate the application of the technique, and conclusions that point to the implications and potential of the technique within archaeology. The book is designed to function as the main textbook for archaeological spatial analysis courses at undergraduate and post-graduate level, while its user-friendly structure makes it also suitable for self-learning by archaeology students as well as researchers and professionals.
