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One of the ongoing problems researchers in geography and GIS have is studying data that is inherently spatial over a long period of time. One of the main hurdles they have to overcome is the study of groups of people classified by their socio-economic status (one of the main means for governments, companies and research organisations to group together segments of the population). The amount of data collected by governments, business and research organisations has increased markedly in recent years. Geographic Information Systems have been more widely used than ever before for the storage and analysis of this information. Most GIS can handle this information spatially rather than temporally, and have difficulty with the management of socio-economic time series, which relate to spatial units. Accordingly, this book covers the issues ranging from the formal model to differentiate aspects of spatio-temporal data, through philosophical and fundamental reconsideration of time and space to the development of practical solutions to the problem. This book draws together an interdisciplinary group of scientists in the field of geography, computing, surveying and philosophy. It presents the definitive sourcebook on temporal GIS as applied to socio-economic units.
Thesis (Ph.D.)--Delft University of Technology, 2004.
What is land? Who owns it? Who can use it? How much is it worth? What can it be used for? These are the questions land administration seeks to answer responsibly, which requires trustworthy people, transparent processes, and reliable information systems. Spatial information is an essential ingredient, and is embedded in the cadastral plans, maps, and land registry records that are used to prove ownership, trade land, access credit, resolve land disputes, enable fair taxation, and support land use planning and development. In the past, ground-based surveying techniques were used to capture the information, however, advances in remote sensing are driving the development of approaches that are faster, lower in cost, more accurate, or more participatory. These can be used to build land administration systems that better support poverty reduction, rapid urbanization, vertical development, and complex infrastructure management. The contributions contained in this book unpack these developments and the potential impacts and explore applications of high-resolution satellite imagery, unmanned aerial vehicle imagery, laser scanning, airborne and terrestrial (LiDAR), machine learning, and artificial intelligence methods, as applied to land administration in parts of Europe, Asia, and Africa.
The book is a new comprehensive textbook about creating and publishing geoinformation metadata. It is a compendium of knowledge about geoinformation metadata in INSPIRE Directive and Spatial Information Infrastructures. It contains the knowledge necessary to understand prior to the creation of geoinformation metadata. Metadata – “data about data” - describe the layers of spatial data (data series, services) responding to the questions: what?, why?, when?, who?, how? and where? Geoinformation metadata allows for exact search of the spatial data according to given criteria, regardless of where this data is located. On 15 May 2007 the EU Directive 2007/2/EC came into force establishing Infrastructure for Spatial Information in Europe - INSPIRE. The proper functioning of the infrastructure for spatial information would not be possible without the metadata.
Advances in Responsible Land Administration challenges conventional forms of land administration by introducing alternative approaches and provides the basis for a new land administration theory. A compilation of observations about responsible land administration in East Africa, it focuses on a new empirical foundation rather than preexisting ideal