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Author: Michael John De Smith Publisher: Troubador Publishing Ltd ISBN: 1905886608 Category : Mathematics Languages : en Pages : 417
Book Description
Addresses a range of analytical techniques that are provided within modern Geographic Information Systems and related geospatial software products. This guide covers: the principal concepts of geospatial analysis; core components of geospatial analysis; and, surface analysis, including surface form analysis, gridding and interpolation methods.
Author: Michael John De Smith Publisher: Troubador Publishing Ltd ISBN: 1905886608 Category : Mathematics Languages : en Pages : 417
Book Description
Addresses a range of analytical techniques that are provided within modern Geographic Information Systems and related geospatial software products. This guide covers: the principal concepts of geospatial analysis; core components of geospatial analysis; and, surface analysis, including surface form analysis, gridding and interpolation methods.
Author: Andy Mitchell Publisher: ESRI, Inc. ISBN: 9781879102064 Category : Computers Languages : en Pages : 190
Book Description
Backed by the collective knowledge and expertise of the worlds leading Geographic Information Systems company, this volume presents the concepts and methods unleashing the full analytic power of GIS.
Author: Gretchen N. Peterson Publisher: CRC Press ISBN: 1000225917 Category : Technology & Engineering Languages : en Pages : 403
Book Description
Since the publication of the bestselling second edition 5 years ago, vast and new globally-relevant geographic datasets have become available to cartography practitioners, and with this has come the need for new ways to visualize them in maps as well as new challenges in ethically disseminating the visualizations. With new features and significant updates that address these changes, this edition remains faithful to the original vision that cartography instruction should be software agnostic. Discussing map design theory and technique rather than map design tools, this book focuses on digital cartography and its best practices. This third edition has completely new sections on how to deal with maps that go viral and the ethics therein; new presentation ideas; new features such as amenities, climate data, and hazards; the new Equal Earth projection; and vector tile design considerations. All chapters are thoroughly updated with new illustrations and new sections for datasets that didn’t exist when the second edition was published, as well as new techniques and trends in cartography. New in the third edition: A true textbook, written with a friendly style and excellent examples explaining everything from layout design to fonts and colors, to specific design considerations for individual feature types, to static and dynamic cartography issues. Thoroughly updated with new features such as points of interest, climate data, hazards, and buildings; new projections such as the Equal Earth projection and the Spilhaus projection; and vector tile design considerations such as label placement techniques and tricks for making world-class basemaps. Includes over 70 new map examples that display the latest techniques in cartography. Reflects on new developments in color palettes; visualization patterns; datums; and non-static output media such as animation, interaction, and large-format cinematic techniques, that weren’t available for the second edition. Defines and illustrates new terms that have made their way into the profession over the last few years such as story maps, flow maps, Dorling cartograms, spec sheets, bivariate choropleths, firefly cartography, Tanaka contours, and value-by-alpha. In this third edition, author Gretchen Peterson takes a "don’t let the technology get in the way" approach to the presentation, focusing on the elements of good design, what makes a good map, and how to get there, rather than specific software tools. She provides a reference that you can thumb through time and again as you create your maps. Copiously illustrated, the third edition explores novel concepts that kick-start your pursuit of map-making excellence. The book doesn’t just teach you how to design and create good maps, it teaches you how to design and create superior maps.
Author: Chris Brunsdon Publisher: SAGE ISBN: 1473911192 Category : Social Science Languages : en Pages : 386
Book Description
"In an age of big data, data journalism and with a wealth of quantitative information around us, it is not enough for students to be taught only 100 year old statistical methods using ′out of the box′ software. They need to have 21st-century analytical skills too. This is an excellent and student-friendly text from two of the world leaders in the teaching and development of spatial analysis. It shows clearly why the open source software R is not just an alternative to commercial GIS, it may actually be the better choice for mapping, analysis and for replicable research. Providing practical tips as well as fully working code, this is a practical ′how to′ guide ideal for undergraduates as well as those using R for the first time. It will be required reading on my own courses." - Richard Harris, Professor of Quantitative Social Science, University of Bristol R is a powerful open source computing tool that supports geographical analysis and mapping for the many geography and ‘non-geography’ students and researchers interested in spatial analysis and mapping. This book provides an introduction to the use of R for spatial statistical analysis, geocomputation and the analysis of geographical information for researchers collecting and using data with location attached, largely through increased GPS functionality. Brunsdon and Comber take readers from ‘zero to hero’ in spatial analysis and mapping through functions they have developed and compiled into R packages. This enables practical R applications in GIS, spatial analyses, spatial statistics, mapping, and web-scraping. Each chapter includes: Example data and commands for exploring it Scripts and coding to exemplify specific functionality Advice for developing greater understanding - through functions such as locator(), View(), and alternative coding to achieve the same ends Self-contained exercises for students to work through Embedded code within the descriptive text. This is a definitive ′how to′ that takes students - of any discipline - from coding to actual applications and uses of R.
Author: Abdishakur Hassan Publisher: Packt Publishing Ltd ISBN: 1789809339 Category : Computers Languages : en Pages : 165
Book Description
Discover the power of location data to build effective, intelligent data models with Geospatial ecosystems Key FeaturesManipulate location-based data and create intelligent geospatial data modelsBuild effective location recommendation systems used by popular companies such as UberA hands-on guide to help you consume spatial data and parallelize GIS operations effectivelyBook Description Data scientists, who have access to vast data streams, are a bit myopic when it comes to intrinsic and extrinsic location-based data and are missing out on the intelligence it can provide to their models. This book demonstrates effective techniques for using the power of data science and geospatial intelligence to build effective, intelligent data models that make use of location-based data to give useful predictions and analyses. This book begins with a quick overview of the fundamentals of location-based data and how techniques such as Exploratory Data Analysis can be applied to it. We then delve into spatial operations such as computing distances, areas, extents, centroids, buffer polygons, intersecting geometries, geocoding, and more, which adds additional context to location data. Moving ahead, you will learn how to quickly build and deploy a geo-fencing system using Python. Lastly, you will learn how to leverage geospatial analysis techniques in popular recommendation systems such as collaborative filtering and location-based recommendations, and more. By the end of the book, you will be a rockstar when it comes to performing geospatial analysis with ease. What you will learnLearn how companies now use location dataSet up your Python environment and install Python geospatial packagesVisualize spatial data as graphsExtract geometry from spatial dataPerform spatial regression from scratchBuild web applications which dynamically references geospatial dataWho this book is for Data Scientists who would like to leverage location-based data and want to use location-based intelligence in their data models will find this book useful. This book is also for GIS developers who wish to incorporate data analysis in their projects. Knowledge of Python programming and some basic understanding of data analysis are all you need to get the most out of this book.
Author: Amor Laaribi Publisher: Esri Press ISBN: 9781589485044 Category : Political Science Languages : en Pages :
Book Description
Census workers need to capture and analyze information at the finest geographic level with mobile and geospatial-based technology. GIS and the 2020 Census: Modernizing Official Statistics provides statistical organizations with the most recent GIS methodologies and technological tools to support census workers' needs at all the stages of a census. Learn how to plan and carry out census work with GIS using new technologies for field data collection and operations management. After planning and collecting data, apply innovative solutions for performing statistical analysis, data integration and dissemination. Additional topics cover cloud computing, big data, Location as a Service (LaaS), and emerging data sources. While GIS and the 2020 Census focuses on using GIS and other geospatial technology in support of census planning and operations, it also offers guidelines for building a statistical-geospatial information infrastructure in support of the 2020 Round of Censuses, evidence-based decision making, and sustainable development. Case studies illustrate concepts in practice.
Author: Mark Gillings Publisher: Routledge ISBN: 1351243845 Category : Social Science Languages : en Pages : 545
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.
Author: Alan H. Peters Publisher: Esri Press ISBN: Category : Political Science Languages : en Pages : 342
Book Description
Seeking to demystify the census and explaining the potential of GIS for understanding people, places, and local economies, this guide explains how geographic information systems (GIS) can significantly ease data management, allowing for new ways to analyze and present relationships among variables.
Author: Michael John De Smith
Author: Michael John De Smith
Author: Andy Mitchell
Author: George Grekousis
Author: Gretchen N. Peterson
Author: Chris Brunsdon
Author: Abdishakur Hassan
Author: Amor Laaribi
Author: Mark Gillings
Author: Paul Bolstad
Author: Alan H. Peters