Probabilistic Integration of Geo‐Information
نویسندگان
چکیده
Probabilistic integration of geo-information Hansen, Thomas Mejer; Cordua, Knud Skou; Zunino, Andrea; Mosegaard, Klaus Published in: Integrated imaging of the earth DOI: 10.1002/9781118929063.ch6 Publication date: 2016 Document Version Publisher's PDF, also known as Version of record Citation for published version (APA): Hansen, T. M., Cordua, K. S., Zunino, A., & Mosegaard, K. (2016). Probabilistic integration of geo-information. In Integrated imaging of the earth: theory and applications (pp. 93-116). Wiley. DOI: 10.1002/9781118929063.ch6
منابع مشابه
Context Correlation Using Probabilistic Semantics
We present an approach for recognizing highlevel geo-temporal phenomena – referred as events/occurrences– from in-depth discovery of information, using geo-tagged photos, formal event models, and various context cues like weather, space, time, and people. Due to the relative availability of information, our approach automatically obtains a probabilistic measure of occurrence likelihood for the ...
متن کاملIs Geo-services Ready? ----on Generalized and Specialized Spatial Information Grid
After the setup of spatial data infrastructure (SDI) and national information infrastructure (NII) in many countries geo-services become one of the most important and attractive tasks. With the integration of GPS, GIS and Remote Sensing (RS) we can principally answer any geo-spatial related question: when and where what object has which changes? An intelligent Geo-service agent would provide th...
متن کاملTowards an Interoperable Open GIS
The number of geo-science applications has been ever increasing over the last decades. Most of them, however, do not provide required level of data and systems integration and tend to be architecturally closed, monolithic, and costly environments. In this paper we present our approach to design and development of an open component-based Geographical Information System (GIS) architecture. The ov...
متن کاملIntegration of artificial neural network and geographic information system applications in simulating groundwater quality
Background: Although experiments on water quality are time consuming and expensive, models are often employed as supplement to simulate water quality. Artificial neural network (ANN) is an efficient tool in hydrologic studies, yet it cannot predetermine its results in the forms of maps and geo-referenced data. Methods: In this study, ANN was applied to simulate groundwater quality ...
متن کاملProbabilistic Sufficiency and Algorithmic Sufficiency from the point of view of Information Theory
Given the importance of Markov chains in information theory, the definition of conditional probability for these random processes can also be defined in terms of mutual information. In this paper, the relationship between the concept of sufficiency and Markov chains from the perspective of information theory and the relationship between probabilistic sufficiency and algorithmic sufficien...
متن کامل