Economists, geographers and surveyors are beginning to recognise the powerful tool which a Geographical Information System (GIS) offers in effective property management. It provides a means of managing land and property information digitally and in a geographical context, and allows for rapid access to information and a means of analyzing that information in a geographical context. GIS in Land and Property Management shows how to use GIS, both in principle and in practice. It introduces digital mapping and GIS, along with a brief history of the development of GIS and LIS, all with an emphasis on property. In presenting the spectrum of GIS applications in property management it gives a number of case studies from a variety of market sectors, and it analyzes the issues to provide guidance and a number of recommendations for the implementation of GIS. At the same time common themes and issues are drawn out to present a coherent message for students and practitioners. The book is useful for undergraduate and postgraduate students on land management, built environment, economics and geography courses, and for property professionals, in both public and private sectors, looking to GIS as a property management decision aid.

This introduction explains how to use geographical information systems (GIS), both in practice and in principle.

Valuing Place and Purpose: GIS for Land Administration shows how GIS is used to visualize, analyze, and administer land and property information, define acceptable use, conserve vulnerable landscapes, and protect disadvantaged communities and indigenous people. --Keith Mann

The report describes potential applications of geographic information systems (GIS) and spatial analysis by HUD's Office of Policy Development and Research for understanding housing needs, addressing broader issues of urban poverty and community development, and improving access to information and services by the many users of HUD's data. It offers a vision of HUD as an important player in providing urban data to federal initiatives towards a spatial data infrastructure for the nation.

Land parcel data (also known as cadastral data) provide geographically referenced information about the rights, interests, and ownership of land and are an important part of the financial, legal, and real estate systems of society. The data are used by governments to make decisions about land development, business activities, regulatory compliance, emergency response, and law enforcement. In 1980, a National Research Council book called for nationally integrated land parcel data, but despite major progress in the development of land parcel databases in many local jurisdictions, little progress has been made toward a national system. National Land Parcel Data looks at the current status of land parcel data in the United States. The book concludes that nationally integrated land parcel data is necessary, feasible, and affordable. It provides recommendations for establishing a practical framework for sustained intergovernmental coordination and funding required to overcome the remaining challenges and move forward.

This book, presented in three volumes, examines environmental disciplines in relation to major players in contemporary science: Big Data, artificial intelligence and cloud computing. Today, there is a real sense of urgency regarding the evolution of computer technology, the ever-increasing volume of data, threats to our climate and the sustainable development of our planet. As such, we need to reduce technology just as much as we need to bridge the global socio-economic gap between the North and South; between universal free access to data (open data) and free software (open source). In this book, we pay particular attention to certain environmental subjects, in order to enrich our understanding of cloud computing. These subjects are: erosion; urban air pollution and atmospheric pollution in Southeast Asia; melting permafrost (causing the accelerated release of soil organic carbon in the atmosphere); alert systems of environmental hazards (such as forest fires, prospective modeling of socio-spatial practices and land use); and web fountains of geographical data. Finally, this book asks the question: in order to find a pattern in the data, how do we move from a traditional computing model-based world to pure mathematical research? After thorough examination of this topic, we conclude that this goal is both transdisciplinary and achievable.

Spatial Modeling in GIS and R for Earth and Environmental Sciences offers an integrated approach to spatial modelling using both GIS and R. Given the importance of Geographical Information Systems and geostatistics across a variety of applications in Earth and Environmental Science, a clear link between GIS and open source software is essential for the study of spatial objects or phenomena that occur in the real world and facilitate problem-solving. Organized into clear sections on applications and using case studies, the book helps researchers to more quickly understand GIS data and formulate more complex conclusions. The book is the first reference to provide methods and applications for combining the use of R and GIS in modeling spatial processes. It is an essential tool for students and researchers in earth and environmental science, especially those looking to better utilize GIS and spatial modeling. - Offers a clear, interdisciplinary guide to serve researchers in a variety of fields, including hazards, land surveying, remote sensing, cartography, geophysics, geology, natural resources, environment and geography - Provides an overview, methods and case studies for each application - Expresses concepts and methods at an appropriate level for both students and new users to learn by example