Readers will understand how to find, evaluate, and analyze data to solve location-based problems. This guide covers practical issues such as copyrights, cloud computing, online data portals, volunteered geographic information, and international data with supplementary exercises.
Authoritative and comprehensive, this is the leading text and professional resource on using geographic information systems (GIS) to analyze and address public health problems. Basic GIS concepts and tools are explained, including ways to access and manage spatial databases. The book presents state-of-the-art methods for mapping and analyzing data on population, health events, risk factors, and health services, and for incorporating geographical knowledge into planning and policy. Numerous maps, diagrams, and real-world applications are featured. The companion Web page provides lab exercises with data that can be downloaded for individual or course use. New to This Edition *Incorporates major technological advances, such as Internet-based mapping systems and the rise of data from cell phones and other GPS-enabled devices. *Chapter on health disparities. *Expanded coverage of public participation GIS. *Companion Web page has all-new content. *Goes beyond the United States to encompass an international focus.
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.
Map Librarianship identifies basic geoliteracy concepts and enhances reference and instruction skills by providing details on finding, downloading, delivering, and assessing maps, remotely sensed imagery, and other geospatial resources and services, primarily from trusted government sources. By offering descriptions of traditional maps, geographic information systems (GIS), remote sensing, and other geospatial technologies, the book provides a timely and practical guide for the map and geospatial librarian to blend confidence in traditional library skill sets. - Includes rarely discussed concepts of citing and referencing maps and geospatial data, fair use and copyright - Creates an awareness and appreciation of existing print map collections, while building digital stewardship with surrogate map and aerial imagery collections - Provides an introduction to the theory and applications of GIS, remote sensing, participatory neogeography and neocartography practices, and other geospatial technologies - Includes a list of geospatial resources with descriptions and illustrations of commonly used map types and formats, online geospatial data sources, and an introduction to the most commonly used geospatial software packages available, on both desktop and mobile platforms
This book presents a spatially-based multiple methods approach to research serving academic and organizational researchers from across a wide variety of disciplines. For many, consideration of spatial relationships is an important component of their research questions, including those who may not have yet recognized GIS as a valuable tool. The book will provide readers essential steps to conceptualize and implement research and analysis, develop meaningful quantitative and qualitative geographic results and to communicate their findings using the visualization capabilities of GIS to assist decision-makers and affect policy. Furthermore it offers researchers a deeper understanding of social, economic and environmental questions considering spatial relationships in their data.The broad subject area of the project is the integration of spatial analysis as a research methodology. More specifically the book provides practical guidance for the identification, collection and analysis of appropriate research data for analysis in an Esri/ArcGIS context without being specific to a particular version of the software. The objective is to present ArcGIS with an eye towards incorporating spatial analysis as a fundamental component of mixed methods research. Because GIS is, by nature, an integrative technology which can draw together multiple data sources via a common spatial attribute, it is a natural fit for mixed-methods research. GIS provides the researcher an unparalleled ability to enhance their research incorporating a geographic perspective.
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.
Targeting those charged with launching or implementing a geographic information system for their organization, this book details a practical method for planning a GIS proven successful in public and private sector organizations.
The interdisciplinary uses of traditional cartographic resources and modern GIS tools allow for the analysis and discovery of information across a wide spectrum of fields. A Research Guide to Cartographic Resources navigates the numerous American and Canadian cartographic resources available in print and online, offering researchers, academics and students with information on how to locate and access the large variety of resources, new and old. Dozens of different cartographic materials are highlighted and summarized, along with lists of map libraries and geospatial centers, and related professional associations. A Research Guide to Cartographic Resources consists of 18 chapters, two appendices, and a detailed index that includes place names, and libraries, structured in a manner consistent with most reference guides, including cartographic categories such as atlases, dictionaries, gazetteers, handbooks, maps, plans, GIS data and other related material. Almost all of the resources listed in this guide are categorized by geography down to the county level, making efficient work of the type of material required to meet the information needs of those interested in researching place-specific cartographic-related resources. Additionally, this guide will help those interested in not only developing a comprehensive collection in these subject areas, but get an understanding of what materials are being collected and housed in specific map libraries, geospatial centers and their related websites. Of particular value are the sections that offer directories of cartographic and GIS libraries, as well as comprehensive lists of geospatial datasets down to the county level. This volume combines the traditional and historical collections of cartography with the modern applications of GIS-based maps and geospatial datasets.
The history and future of geographic information (GI) in the context of big data creates new avenues of concern over its organization, access and use. In this book the authors explore both the background and present challenges facing the preservation of GI, focusing on the roles of librarians, archivists, data scientists, and other information professionals in the creation of GI records for its organization, access, and use.
Over the past few decades the world has been organized through the growth and integration of geographic information systems (GIS) across public and private sector industries, agencies, and organizations. This has happened in a technological context that includes the widespread deployment of multiple digital mobile technologies, digital wireless communication networks, positioning, navigation and mapping services, and cloud-based computing, spawning new ways of imagining, creating, and consuming geospatial information and analytics. GIS: An Introduction to Mapping Technologies is written with the detached voices of practitioner scholars who draw on a diverse set of experiences and education, with a shared view of GIS that is grounded in the analysis of scale-diverse contexts emphasizing cities and their social and environmental geographies. GIS is presented as a critical toolset that allows analysts to focus on urban social and environmental sustainability. The book opens with chapters that explore foundational techniques of mapping, data acquisition and field data collection using GNSS, georeferencing, spatial analysis, thematic mapping, and data models. It explores web GIS and open source GIS making geospatial technology available to many who would not be able to access it otherwise. Also, the book covers in depth the integration of remote sensing into GIS, Health GIS, Digital Humanities GIS, and the increased use of GIS in diverse types of organizations. Active learning is emphasized with ArcGIS Desktop lab activities integrated into most of the chapters. Written by experienced authors from the Department of Geography at DePaul University in Chicago, this textbook is a great introduction to GIS for a diverse range of undergraduates and graduate students, and professionals who are concerned with urbanization, economic justice, and environmental sustainability.