Advances in Spatial Analysis and Decision Making: Proceedings of the ISPRS Workshop on Spatial Analysis and Decision Making: Hong Kong, 3-5 December 2003
While traditional apsects of GIS have been growing rapidly in recent years, new developments have focused on the geographic information service and delivery, which will realise the benefits of spatial information to the community. The analysis and application of spatial information for decision support systems is an important development in realising these benefits. This book is a collection of peer-reviewed articles presented at the ISPRS Workshop on Spatial Analysis and Decision Making in Hong Kong in 2003. It covers topics such as image-based spatial analysis and decision making; 3-D modelling and analysis; general spatial analysis methodology; web- and mobile-based analysis; knowledge-based systems; integrated systems; visualisation and representation methodology, and some application systems.
- Z. Li, Q. Zhou, W. Kainz (Editors)
- 2004-01-01, Taylor & Francis
Spatial Statistics: GeoSpatial Information Modeling and Thematic Mapping
Geospatial information modeling and mapping has become an important tool for the investigation and management of natural resources at the landscape scale. Spatial Statistics: GeoSpatial Information Modeling and Thematic Mapping reviews the types and applications of geospatial information data, such as remote sensing, geographic information systems (GIS), and GPS as well as their integration into landscape-scale geospatial statistical models and maps.
The book explores how to extract information from remotely sensed imagery, GIS, and GPS, and how to combine this with field data—vegetation, soil, and environmental—to produce a spatial model that can be reconstructed and displayed using GIS software. Readers learn the requirements and limitations of each geospatial modeling and mapping tool. Case studies with real-life examples illustrate important applications of the models.
Topics covered in this book include:
* An overview of the geospatial information sciences and technology and spatial statistics
* Sampling methods and applications, including probability sampling and nonrandom sampling, and issues to consider in sampling and plot design
* Fine and coarse scale variability
* Spatial sampling schemes and spatial pattern
* Linear and spatial correlation statistics, including Moran’s I, Geary’s C, cross-correlation statistics, and inverse distance weighting
* Geospatial statistics analysis using stepwise regression, ordinary least squares (OLS), variogram, kriging, spatial auto-regression, binary classification trees, cokriging, and geospatial models for presence and absence data
* How to use R statistical software to work on statistical analyses and case studies, and to develop a geospatial statistical model
The book includes practical examples and laboratory exercises using ArcInfo, ArcView, ArcGIS, and other popular software for geospatial modeling. It is accessible to readers from various fields, without requiring advanced knowledge of geospatial information sciences or quantitative methods.
- Mohammed A. Kalkhan
- 2011-05-09, Taylor & Francis
Advanced Mapping of Environmental Data: Geostatistics, Machine Learning and Bayesian Maximum Entropy
1. Model dependent (geostatistics) and data driven (machine learning algorithms).
2. Environmental spatial data.
Monitoring networks quantification and Spatial patterns.
Spatial predictions and simulations, Linear models, Family of kriging models with illustrations, Nonlinear models, Risk mapping, Indicator kriging, Conditional stochastic simulations and Descriptions of spatial uncertainty and variability.
4. Machine learning algorithms.
Principles of learning, Learning from environmental spatial data, Posing of classification and regression problems, Artificial neural networks (ANN) for spatial data, Basic ANN models (theory and illustrative examples), Statistical learning theory for spatial data and Concepts and examples.
5. Case studies: Geostatistics and machine learning.
Classification problems and Regression problems.
6. Bayesian maximum entropy (BME).
- Mikhail Kanevski
- 2007-12-01, Hermes Science Publishing (iSTE)
Telegeoinformatics: Location-based Computing and Services
This book explains the fundamentals and intricacies of telegeoinformatics. The book is divided into three parts: Theories and Technologies; Integrated Data and Technologies; and Applications. These sections are divided into smaller contributed chapters, each of which addresses a topic crucial to the understanding of telegeoinformatics. This volume covers the concepts and technologies related to GIS and geoprocessing, remote sensing, the GPS, and wireless systems. It also explores the main issues of integrated data and technologies in LBC, LBS, mediated reality, and mobile augmented reality systems. The final part discusses applications of telegeoinformatics in emergency response, mobile inspection data collection, and ITS.
- Amin Hammad and Hassan A. Karimi (Editors)
- 2004-03-15, Taylor & Francis
Introduction to 3D Data: Modeling with ArcGIS 3D Analyst and Google Earth
Written as a self-study workbook, Introduction to 3D Data demystifies the sometimes confusing controls and procedures required for 3D modeling using software packages such as ArcGIS 3D Analyst and Google Earth.
Going beyond the manual that comes with the software, this profusely illustrated guide explains how to use ESRI’s ArcGIS 3D Analyst to model and analyze three-dimensional geographical surfaces, create 3D data, and produce displays ranging from topographically realistic maps to 3D scenes and spherical earth-like views. The engagingly user-friendly instruction:
• Walks you through basic concepts of 3D data, progressing to more advanced techniques such as calculating surface area and volume
• Introduces you to two major software packages: ArcGIS 3D Analyst (including ArcScene and ArcGlobe) and Google Earth
• Reinforces your understanding through in-depth discussions with over thirty hands-on exercises and tutorial datasets on the support website at www.wiley/college/kennedy
• Helps you apply the theory with real-world applications
Whether you’re a student or professional in geology, landscape architecture, transportation system planning, hydrology, or a related field, Introduction to 3D Data will quickly turn you into a power user of 3D GIS.
- Heather Kennedy
- 2009-07-01, Wiley
Spatio-temporal Networks: Modeling and Algorithms
Spatio-temporal networks (STN)are spatial networks whose topology and/or attributes change with time. These are encountered in many critical areas of everyday life such as transportation networks, electric power distribution grids, and social networks of mobile users. STN modeling and computations raise significant challenges. The model must meet the conflicting requirements of simplicity and adequate support for efficient algorithms. Another challenge is to address the change in the semantics of common graph operations, such as, shortest path computation assuming different semantics, or when temporal dimension is added. Also paradigms (e.g. dynamic programming) used in algorithm design may be ineffective since their assumptions (e.g. stationary ranking of candidates) may be violated by the dynamic nature of STNs.
In recent years, STNs have attracted attention in research. New representations have been proposed along with algorithms to perform key STN operations, while accounting for their time dependence. Designing a STN database would require the development of data models, query languages, and indexing methods to efficiently represent, query, store, and manage time-variant properties of the network. The purpose of Spatio-temporal Networks: Modeling and Algorithms is to explore this design at the conceptual, logical, and physical level. Models used to represent STNs are explored and analyzed. STN operations, with an emphasis on their altered semantics with the addition of temporal dimension, are also addressed.
- Betsy George and Sangho Kim
- 2012-09-12, Springer
Coastal and Marine Geo-Information Systems: Applying the Technology to the Environment
his volume comprises a collection of 40 chapters by experts dealing with the application of Geographical Information Systems (GIS), remote sensing, cartography, visualisation and Global Positioning Systems (GPS) to coastal and marine environments around the world. Aimed primarily at the practising marine and coastal zone manager, it provides an up-to-date examination of the application of geo-information and spatial technologies to a wide range of topics such as fisheries, coastal geomorphology, the use of remotely sensed imagery, coastal vegetation mapping, coastal pollution, landscape ecology, and decision support systems (DSS).
- David R. Green and Stephen D. King, (Editors)
- 2003-04-01, Springer
Mobile Response: First International Workshop on Mobile Information Technology, for Emergency Response, Mobile Response 2007, Sankt Augustin, Germany, February 22-23, 2007
This book constitutes the thoroughly refereed post-proceedings of the First International Workshop on Mobile Information Technology for Emergency Response, MobileResponse 2007 held in Sankt Augustin, Germany in February 2007.
The 16 revised papers presented together with one keynote lecture were carefully reviewed and selected from 30 submissions. The papers are organized in topical sections on medical services, team support, geospatial information, wearable computing, and communication technology.
- Jobst Löffler and Markus Klann (Editors)
- 2007-12-01, Springer
Disease Maps: Epidemics on the Ground
In Disease Maps: Epidemics on the Ground (University of Chicago Press, 2012) medical geographer Tom Koch makes a new, and important argument: It is in the mapping of individual cases of illness as group events that we have come to understand disease as a public thing affecting general populations. Maps become, in this telling, the workbench on which a collection of individual cases are combined to create a single health event, seen in place. It is thus in the mapping, and the environmental thinking that mapping promotes, that theories about this or that disease (and health in general) are first formulated and then tested.
This is not something new, but rather something old that has become increasingly important as immigration and trade carried disease around the world. Our understanding of disease as a public thing began in the 1500's with an anatomical atlas and an atlas of the world, the two together presaging a way of knowing that continues today. From this start maps became the medium in which symptoms were collected into databases whose cases became a single event: an outbreak of plague in the seventeenth century, for example. By the end of the eighteenth century the map was become a principal medium in which theories of diseases like cancer, cholera, typhoid fever, and so on were proposed and then tested in maps of local outbreaks.
Disease Maps: Epidemics on the Ground, tells this story of disease through a collection of maps in which local outbreaks, national epidemics, and international pandemics were formulated. From seventeenth century plague to twenty-first century cancer: all present disease as a communal thing, something lodged in the environment and presented in a way that insisted on theorizing and testing as a way of understanding. Here, too, are the origins of health and disease not merely as private calamities but as public health events to which the response must be public and official, not simply personal.
- Tom Koch
- 2011-06-30, Chicago University Press
Geographic Uncertainty in Environmental Security: Proceedings of the NATO Advanced Research Workshop on Fuzziness and Uncertainty in GIS for Environmental Security and Protection, Kyiv, Ukraine, June 28-July 1, 2006
On June 28 through July 1 of 2006, a NATO Advanced Research Workshop was held in Kyiv, Ukraine. This workshop brought the top researchers in Fuzzy GIS together, both from NATO countries as well as partner countries. The workshop focused on how uncertainty and fuzziness can be better modelled and implemented in Geographic Information Science to help decision makers make more informed choices, especially as they pertain to environmental security and protection.
- Ashley Morris and Svitlana Kohkan (Editors)
- 2007-09-01, Springer