Overcoming Object Misalignment in Geo-Spatial Datasets
نویسندگان
چکیده
منابع مشابه
Integration of Multiple Geo-spatial Datasets
When multiple geo-spatial datasets are integrated, the process should be done in several stages. In each stage two datasets are fused to one. Since different sequences may lead to different results, it is important to select a sequence that would lead to the required results. Two approaches, namely the sequential and hierarchical, for selecting the sequence are presented, and their results are ...
متن کاملDistributed Commuting Augmented Shortest Path Finding for Geo Spatial Datasets
Geo Spatial information is a large collection of datasets referring to the real world entities. Geo Spatial information has evolved in the last decade which led to produce a vast platform in Government Administration, Scientific Analysis and other various sectors especially in disaster management (DM), site suitability of Check-dams for Irrigation Department etc. It is required to obtain impera...
متن کاملA Parallel Formulation of the Spatial Auto-Regression Model for Mining Large Geo-Spatial Datasets
The spatial auto-regression model (SAM) is a popular spatial data mining technique which has been used in many applications with geo-spatial datasets. However, serial procedures for estimating SAM parameters are computationally expensive due to the need to compute all the eigenvalues of a very large matrix. We propose a parallel formulation of the SAM parameter estimation procedure in this pape...
متن کاملMethods for Deriving Canada Wide Geo-Spatial Datasets in Support of Environmental Monitoring and Modelling
Satellite remote sensing and numerical modelling are important tools to quantify trends in the environment across Canada. This paper describes methodology and initial results for the production of a new 1-km resolution map of waterbody fraction and 10-km resolution maps of forest cover type (hardwood/softwood) required as input parameters to these approaches. The waterbody fraction map is deriv...
متن کاملGeo-statistical Exploration of Milano Datasets
Data about cities is today available from a multitude of sources at high volumes and rates; a multi-disciplinary and cross-sectorial data processing and analysis has become more and more pervasive to better understand urban evolution. Statistical datasets, together with other (big) data related to cities, can be employed to semantically explore and characterize the urban space. In this paper, w...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Geographic Information System
سال: 2014
ISSN: 2151-1950,2151-1969
DOI: 10.4236/jgis.2014.64028