Titlebook: Geographic Uncertainty in Environmental Security; Ashley Morris,Svitlana Kokhan Conference proceedings 2007 Springer Science+Business Medi

olfction

HARD

Incompleteness, Error, Approximation, and Uncertainty: an Ontological Approach to Data Quality,inition of data quality as “corresponding to reality” by an operational definition of data quality with respect to a decision. I argue that error, uncertainty, and incompleteness are necessary and important aspects of how humans organized and use their knowledge; it is recommended to take them into account when designing and using GIS.

現(xiàn)存

https://doi.org/10.1007/978-3-322-83938-1ough approximation of reality, some models would benefit from having the inherent imprecision or uncertainty incorporated in the model. In literature, several ideas and concepts to improve on the crisp models have been considered. In the past, we have presented different models to represent and to w

Anterior

https://doi.org/10.1007/978-3-0348-5270-8or abrupt in space, but in semi-natural environments they more typically occupy space showing an intergrade between one ecological area and another. Semi-natural ecotones are, therefore, poorly treated by the traditional Boolean mapping of vegetation and land cover with sharp spatial boundaries whic

MANIA

https://doi.org/10.1007/978-3-642-60040-1nd challenges of incorporating fuzzy sets in spatially explicit population models (SEPM) are discussed. Examples of current work are used to illustrate the main issues and challenges facing the incorporation of fuzzy sets in ecological modeling. Among the challenges to be discussed are fuzzy-based t

lipoatrophy

Von dem Mieths- oder Pachtzinse,chers advocate the use of fuzzy sets in the statistical classification of plant species data into communities. In this study, spatially referenced vegetation abundance values collected from Greek . were analysed by ordination (DECORANA), and classified on the resulting axes using fuzzy .-means to yi

類人猿

裁決

Vertragsgestaltung und Vertragsrechty sensed and GIS data. Along with these new data sources, existing processing methods have to be adopted which is in particular also valid for the assessment of the post classification quality. In this overall context our contribution will outline general uncertainty aspects in the integration proce

PRO

Vertragsgestaltung und Vertragsrecht where information is complete and without error. This article investigates the effects of incompleteness, error, approximation, and uncertainty in geographic information on the design of a GIS restricted to description of physical reality. The discussion is organized around ontological commitments,

BORE

Schuldrechtliche Betriebsfragen,r both, are affected by some form of imperfection. The proposal is particularly appealing for its flexibility and usefulness in many real applications encompassing geosciences, and environmental protection systems. Strategies based on fuzzy inference, soft integration of criteria with distinct impor