Author :
Publisher :
Page : 118 pages
File Size : 27,15 MB
Release : 2004
Category :
ISBN :
[PDF] Modeling Uncertainties In Geo Spatial Data And Analysis Asprs Yearbook eBook
Modeling Uncertainties In Geo Spatial Data And Analysis Asprs Yearbook Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Modeling Uncertainties In Geo Spatial Data And Analysis Asprs Yearbook book. This book definitely worth reading, it is an incredibly well-written.
Principles of Modeling Uncertainties in Spatial Data and Spatial Analyses
Author : Wenzhong Shi
Publisher : CRC Press
Page : 456 pages
File Size : 13,71 MB
Release : 2009-09-30
Category : Mathematics
ISBN : 1420059289
When compared to classical sciences such as math, with roots in prehistory, and physics, with roots in antiquity, geographical information science (GISci) is the new kid on the block. Its theoretical foundations are therefore still developing and data quality and uncertainty modeling for spatial data and spatial analysis is an important branch of t
Uncertainty Modelling and Quality Control for Spatial Data
Author : Shi Wenzhong
Publisher : CRC Press
Page : 312 pages
File Size : 16,23 MB
Release : 2015-11-04
Category : Mathematics
ISBN : 1498733344
Offers New Insight on Uncertainty ModellingFocused on major research relative to spatial information, Uncertainty Modelling and Quality Control for Spatial Data introduces methods for managing uncertainties-such as data of questionable quality-in geographic information science (GIS) applications. By using original research, current advancement, and
Uncertainty in Geographical Information
Author : Jingxiong Zhang
Publisher : CRC Press
Page : 277 pages
File Size : 31,27 MB
Release : 2002-03-29
Category : Technology & Engineering
ISBN : 0203471326
As Geographic Information Systems (GIS) develop, there is a need to demystify the complex geographical world to facilitate computerization in GIS by the inaccuracies that emerge from man-machine interactions in data acquisition and by error propagation in geoprocessing. Users need to be aware of the impacts of uncertainties in spatial analysis and decision-making. Uncertainty in Geographical Information discusses theoretical and practical aspects of spatial data processing and uncertainties, and covers a wide range of types of errors and fuzziness and emphasizes description and modeling. High level GIS professionals, researchers and graduate students will find this a constructive book.
Quantifying Spatial Uncertainty in Natural Resources
Author : H. Todd Mowrer
Publisher : CRC Press
Page : 282 pages
File Size : 11,54 MB
Release : 2000-03-01
Category : Technology & Engineering
ISBN : 9780203305584
This book will be useful both to those new to spatial uncertainty assessment and to experienced practitioners.
Principles of Modeling Uncertainties in Spatial Data and Analyses
Author : Wenzhong Shi
Publisher :
Page : 412 pages
File Size : 45,1 MB
Release : 2010
Category :
ISBN :
Classics from IJGIS
Author : Peter Fisher
Publisher : CRC Press
Page : 585 pages
File Size : 34,8 MB
Release : 2006-07-20
Category : Technology & Engineering
ISBN : 1420006371
The past 20 years can be regarded as the adolescence of geographic information science (GIS), as it grew from a burgeoning area of study into a mature and thriving field. During those two decades, the International Journal of Geographic Information Science (formerly Systems) (IJGIS) was one of the most prominent academic guiding forces in GIScience
Impacts of Location Uncertainty on Statistical Modeling of Georeferenced Data
Author : Monghyeon Lee
Publisher :
Page : pages
File Size : 48,41 MB
Release : 2017
Category : Geospatial data
ISBN :
Uncertainty in data analysis has been a critical topic in numerous fields, such as public health, medicine, civil engineering, ecology and other natural sciences, and many of the social sciences, including geospatial information sciences. It may occur in any step of a study, such as collecting, recording, and analyzing data, and interpreting analysis results. Uncertainty is often propagated to analysis outcomes. The outcomes to which serious uncertainties are transferred likely yield misleading conclusions about a phenomenon, and constitute inaccurate results. Locational uncertainty, which is the difference between a true and a represented location, is a unique source of uncertainty in a spatial data analysis. Furthermore, locational uncertainty may interact with uncertainties from other sources (e.g., measurement, specification, sampling, or stochastic noise), and makes outcomes more unreliable. Propagation of uncertainty has been widely investigated. However, locational uncertainty propagation and combining uncertainties from different sources merit more attention, because the propagation and combination of uncertainties are quite complicated and can seriously corrupt analysis outcomes. This research examines uncertainty in spatial data analysis using two sources of public health data: Florida cancer data and Syracuse blood lead level data. The research 1) presents a study about how locational uncertainty propagates through an analysis involving an urban hierarchy in terms of spatial relationships between poverty and cancer using the Florida cancer data, 2) explores relationships and propagations of location and measurement uncertainties using pediatric blood lead level data for Syracuse, New York, and 3) examines a reverse transformation (i.e., a geometric centerline recovery method) from a kernel density surface to points using the Florida cancer data.
Fuzzy Set Modeling in Geographic Information Systems
Author : Matthew Katinsky
Publisher :
Page : 112 pages
File Size : 46,92 MB
Release : 1994
Category :
ISBN :
Geographical Information Systems: Management issues and applications
Author : Paul Longley
Publisher :
Page : 640 pages
File Size : 28,8 MB
Release : 1999
Category : Geographic information systems
ISBN :