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At a time when people use more and more geographic information and tools, the management of geographical information in software systems still holds many challenges and motivates researchers from different backgrounds to propose innovative solutions. Representing geographical space beyond our mere perception is key to making relevant decisions, whether it is with respect to sustainable development or to the planning of everyday activities. Designing, sharing and exploiting such representations entails many challenges. This book presents recent software design projects, led in teams, which sometimes have different backgrounds, to address these challenges. It analyzes the specificities of these projects in terms of motivation, data models and analysis methods. Proposals are also put forward to improve resource sharing in this domain. Contents 1. Introduction, Bénédicte Bucher and Florence Le Ber. Part 1. Software Presentation 2. ORBISGIS: Geographical Information System Designed by and for Research, Erwan Bocher and Gwendall Petit. 3. GEOXYGENE: an Interoperable Platform for Geographical Application Development, Éric Grosso, Julien Perret and Mickaël Brasebin. 4. Spatiotemporal Knowledge Representation in AROM-ST, Bogdan Moisuc, Alina Miron, Marlène Villanova-Olivier and Jérôme Gensel. 5. GENGHIS: an Environment for the Generation of Spatiotemporal Visualization Interfaces, Paule-Annick Davoine, Bogdan Moisuc and Jérôme Gensel. 6. GEOLIS: a Logical Information System to Organize and Search Geo-Located Data, Olivier Bedel, Sébastien Ferré and Olivier Ridoux. 7. GENEXP-LANDSITES: a 2D Agricultural Landscape Generating Piece of Software, Florence Le Ber and Jean-François Mari. 8. MDWEB: Cataloging and Locating Environmental Resources, Jean-Christophe Desconnets and Thérèse Libourel. 9. WEBGEN: Web Services to Share Cartographic Generalization Tools, Moritz Neun, Nicolas Regnauld and Robert Weibel. Part 2. Summary and Suggestions 10. Analysis of the Specificities of Software Development in Geomatics Research, Florence Le Ber and Bénédicte Bucher. 11. Challenges and Proposals for Software Development Pooling in Geomatics, Bénédicte Bucher, Julien Gaffuri, Florence Le Ber and Thérèse Libourel.
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.
Effective integration of a stand-alone GIS (e.g., ArcView 3.x) into a complex distributed software application requires an efficient, reliable mechanism for passing data and function requests to and from the GIS component. This paper describes the use of dynamic data-sharing and inter-process communication mechanisms to integrate GIS capability into a multi-jurisdictional distributed emergency management information system. These mechanisms include dynamic layer updates from spatial and attribute information shared via a distributed relational database across multiple sites; storage of private and shared ViewMarks to facilitate consistent GIS views; and asynchronous inter-process communication using function queuing and a data sharing library.
This book gathers various perspectives on modern map production. Its primary focus is on the new paradigm of “sharing and reuse,” which is based on decentralized, service-oriented access to spatial data sources. Service-Oriented Mapping is one of the main paradigms used to embed big data and distributed sources in modern map production, without the need to own the sources. To be stable and reliable, this architecture requires specific frameworks, tools and procedures. In addition to the technological structures, organizational aspects and geographic information system (GIS) capabilities provide powerful tools to make modern geoinformation management successful. Addressing a range of aspects, including the implementation of the semantic web in geoinformatics, using big data for geospatial visualization, standardization initiatives, and the European spatial data infrastructure, the book offers a comprehensive introduction to decentralized map production. .
This book guides animal ecologists, biologists and wildlife and data managers through a step-by-step procedure to build their own advanced software platforms to manage and process wildlife tracking data. This unique, problem-solving-oriented guide focuses on how to extract the most from GPS animal tracking data, while preventing error propagation and optimizing analysis performance. Based on the open source PostgreSQL/PostGIS spatial database, the software platform will allow researchers and managers to integrate and harmonize GPS tracking data together with animal characteristics, environmental data sets, including remote sensing image time series, and other bio-logged data, such as acceleration data. Moreover, the book shows how the powerful R statistical environment can be integrated into the software platform, either connecting the database with R, or embedding the same tools in the database through the PostgreSQL extension Pl/R. The client/server architecture allows users to remotely connect a number of software applications that can be used as a database front end, including GIS software and WebGIS. Each chapter offers a real-world data management and processing problem that is discussed in its biological context; solutions are proposed and exemplified through ad hoc SQL code, progressively exploring the potential of spatial database functions applied to the respective wildlife tracking case. Finally, wildlife tracking management issues are discussed in the increasingly widespread framework of collaborative science and data sharing. GPS animal telemetry data from a real study, freely available online, are used to demonstrate the proposed examples. This book is also suitable for undergraduate and graduate students, if accompanied by the basics of databases.
Step-by-step instructions are included and the needs of a beginner are totally satisfied by the book. The book consists of plenty of examples with accompanying screenshots and code for an easy learning curve. You are a web developer with knowledge of server side scripting, and have experience with installing applications on the server. You have a desire to want more than Google maps, by offering dynamically built maps on your site with your latest geospatial data stored in MySQL, PostGIS, MsSQL or Oracle. If this is the case, this book is meant for you.
Asset management is critical for local and state governments to not only track assets but to also plan for maintenance of assets that will provide the greatest return on investment for the agency. The use of geographic information system (GIS) applications, tools and geospatial data can provide agencies with the most accurate inventory of assets, a basis to determine and maintain condition, cost-effective mobile tracking and maintenance of assets such as signs, culverts, roads and bridges, and reporting tools to justify asset expenditures. The research team’s two-part survey effort gathered information about the use of GIS mobile technology by Minnesota local agencies. A review of selected mobile technologies highlighted the specific tasks and functionality the technology provided to assist with an agency’s asset-management program. Using this information and the results of extensive interviews with selected local agencies, the research team developed three case studies that offer recommendations for agencies at different stages in the use of GIS for asset management: Case Study 1: Getting Started. Case Study 2: Utilizing Mobile Technology for Asset Management. Case Study 3: Moving Beyond "What and Where" to Analysis and Forecasting.
Data sharing is an important component of research fields and the planning profession. This project examines the feasibility of the ArcGIS Viewer for Flex as a tool for data sharing on the web and enhancing collaboration for planners and researchers with no web development knowledge. Web sharing tools are surveyed to determine their strengths and limitations and justifications are made for the selection of the ArcGIS Viewer for Flex. The ArcGIS Viewer for Flex is proven to be a capable stand-alone product for sharing data on the web, however, the future of web GIS and data sharing is concluded to reside in newer cloud based platforms.