Object Oriented Cartography
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Object-Oriented Cartography
Object-Oriented Cartography provides an innovative perspective on the changing nature of maps and cartographic study. Through a renewed theoretical reading of contemporary cartography, this book acknowledges the shifted interest from cartographic representation to mapping practice and proposes an alternative consideration of the ‘thingness’ of maps. Rather than asking how maps map onto reality, it explores the possibilities of a speculative-realist map theory by bringing cartographic objects to the foreground. Through a pragmatic perspective, this book focuses on both digital and nondigital maps and establishes an unprecedented dialogue between the field of map studies and object-oriented ontology. This dialogue is carried out through a series of reflections and case studies involving aesthetics and technology, ethnography and image theory, and narrative and photography. Proposing methods to further develop this kind of cartographic research, this book will be invaluable reading for researchers and graduate students in the fields of Cartography and Geohumanities.
Object-Based Image Analysis
Author: Thomas Blaschke
language: en
Publisher: Springer Science & Business Media
Release Date: 2008-08-09
This book brings together a collection of invited interdisciplinary persp- tives on the recent topic of Object-based Image Analysis (OBIA). Its c- st tent is based on select papers from the 1 OBIA International Conference held in Salzburg in July 2006, and is enriched by several invited chapters. All submissions have passed through a blind peer-review process resulting in what we believe is a timely volume of the highest scientific, theoretical and technical standards. The concept of OBIA first gained widespread interest within the GIScience (Geographic Information Science) community circa 2000, with the advent of the first commercial software for what was then termed ‘obje- oriented image analysis’. However, it is widely agreed that OBIA builds on older segmentation, edge-detection and classification concepts that have been used in remote sensing image analysis for several decades. Nevert- less, its emergence has provided a new critical bridge to spatial concepts applied in multiscale landscape analysis, Geographic Information Systems (GIS) and the synergy between image-objects and their radiometric char- teristics and analyses in Earth Observation data (EO).
GIS And Generalisation
This text is the inaugural book in Taylor and Francis's GISDATA series, and is derived from the specialist workshop convened under the auspices of the European Science Foundation's GISDATA Scientific Programme. Generalisation is an integrating tool for the analysis and presentation of spatial data. Effective spatial data analysis requires multiple views of the world at various scales with different thematic layers of representation. Generalisation is a key mechanism in this process, as it filters out information which is required for particular scales or layers; hence it is critical to implement full and comprehensive generalisation capabilities in a GIS, something with which few current GIS are equipped.; This book overviews the core and as-yet unresolved issues surrounding the achievement of this goal, and presents various alternatives - both speculative views and practical examples - in the areas of automated generalisation, vis-a-vis problems such as object simplification and placement. At the same time it distinguishes between modelling with generalisation and graphical representation, and adopts a model-building perspective. It also describes artificial intelligence techniques for implementing automated generalised routines, and addresses issues of data quality and production.; The text is organized into six parts: an introduction; generic issue; object-orientated methods and knowledge-based modelling; knowledge acquisition and representation; data quality; and operation and implementation.