We comment on the first indication of geo-neutrino events from KamLAND and on the prospects for understanding Earth energetics. Practically all models of terrestrial heat production are consistent with data within the presently limited statistics, the fully radiogenic model being closer to the observed value (≈ 9 geo-events). In a few years KamLAND should collect sufficient data for a clear evi...

Until today, the topographical surveys in a specific point had a problem: if a point was measured several times, it would be impossible to know exactly which measure would be the nearest to the real value. The methodology suggested in this article allows to reject those points which are further from the real value and to keep the points that are nearer to this value.

Investigating the Spatial Pattern of Chemical Properties Forest Soil under Livestock Presence through Geo-Statistics (A Case study: Eastern Bandpey -Babol)

Toponym resolution, or grounding names of places to their actual locations, is an important problem in analysis of both historical corpora and present-day news and web content. Recent approaches have shifted from rule-based spatial minimization methods to machine learned classifiers that use features of the text surrounding a toponym. Such methods have been shown to be highly effective, but the...

Land cover derived from remotely sensed products is an important input to a number of different global, regional and national scale applications including resource assessments and economic land use models. During the last decade three global land cover datasets have been created, i.e. the GLC-2000, MODIS and GlobCover, but comparison studies have shown that there are large spatial discrepancies...

Traditional methods of recording fire burned areas and fire severity involve expensive and timeconsuming field surveys. Available remote sensing technologies may allow us to develop standardized burn-severity maps for evaluating fire effects and addressing post fire management activities. This paper focuses on multiscale characterization of fire severity using multisensor satellite data. To thi...

Imputation estimates based on imputed values obtained from neural network models used in an 'impute first-aggregate next' approach, have been computed from Norwegian population census and administrative register data. The imputation estimates were compared with simple unbiased estimates obtained by the traditional 'aggregate first estimate next' approach and found to be superior for estimating ...

When analyzing and processing videos, it has become increasingly important in many applications to also consider contextual information, in addition to the content. With the ubiquity of sensor-rich smartphones, acquiring a continuous stream of geo-spatial metadata that includes the location and orientation of a camera together with the video frames has become practical. However, no such detaile...

Variable selection under multiple imputation using the bootstrap in a prognostic study Title: Authors: Martijn W Heymans ([email protected]) Stef van Buuren