Model-data fusion for spatial and statistical characterization of soil parameters from geophysical measurements
Sign Up to like & getrecommendations! Published in 2019 at "Soil Dynamics and Earthquake Engineering"
DOI: 10.1016/j.soildyn.2019.05.010
Abstract: Abstract A recently developed PDE-constrained stochastic inverse analysis algorithm for spatial and statistical characterization of soil parameters from geophysical measurements, considering uncertainty due to limited measurements and sensor noise, is exemplified and validated. A 60m… read more here.
Keywords: statistical characterization; geophysical measurements; spatial statistical; soil parameters ... See more keywords
Optimization of spatial statistical approaches to identify land use/land cover change hot spots of Pune region of Maharashtra using remote sensing and GIS techniques
Sign Up to like & getrecommendations! Published in 2017 at "Geocarto International"
DOI: 10.1080/10106049.2016.1178813
Abstract: Abstract This study investigated land use/land cover change (LULCC) dynamics using temporal satellite images and spatial statistical cluster analysis approaches in order to identify potential LULCC hot spots in the Pune region. LULCC hot spot… read more here.
Keywords: use land; spatial statistical; change; land ... See more keywords
Impaired visuo-spatial statistical learning with mathematical learning difficulties
Sign Up to like & getrecommendations! Published in 2023 at "Visual Cognition"
DOI: 10.1080/13506285.2023.2208887
Abstract: ABSTRACT Rapid extraction of temporal and spatial patterns from repeated experience is known as statistical learning (SL). Studies on SL show that after few minutes of exposure, observers exhibit knowledge of regularities hidden in a… read more here.
Keywords: visuo spatial; spatial statistical; learning difficulties; mathematical learning ... See more keywords
A spatial statistical study of the distribution of Sardinian nuraghes
Sign Up to like & getrecommendations! Published in 2022 at "Annals of GIS"
DOI: 10.1080/19475683.2022.2043937
Abstract: ABSTRACT The spatial distribution of nuraghes throughout the Island of Sardinia still raises many questions. In this paper, we apply spatial statistical methods to investigate their relations with topographical features and with related objects nearby.… read more here.
Keywords: distribution sardinian; spatial statistical; statistical study; study distribution ... See more keywords
Mapping of space–time patterns of infectious disease using spatial statistical models: a case study of COVID-19 in India
Sign Up to like & getrecommendations! Published in 2022 at "Infectious Diseases"
DOI: 10.1080/23744235.2022.2129778
Abstract: Abstract Introduction Mapping of infectious diseases like COVID-19 is the foremost importance for diseases control and prevention. This study attempts to identify the spatio-temporal pattern and evolution trend of COVID-19 at the district level in… read more here.
Keywords: time; spatial statistical; using spatial; statistical models ... See more keywords
AB083. Abnormal white matter microstructural in lifelong premature ejaculation identified by tract-based spatial statistical analysis
Sign Up to like & getrecommendations! Published in 2017 at "Translational Andrology and Urology"
DOI: 10.21037/tau.2017.s083
Abstract: Background To investigate the white matter microstructural changes association between untreated life-long premature ejaculation (LPE) patients and controls by tract-based spatial statistical analysis. As well, to investigate how the depression and anxiety influence the result.… read more here.
Keywords: matter microstructural; spatial statistical; tract based; based spatial ... See more keywords
Integration of Precision Farming Data and Spatial Statistical Modelling to Interpret Field-Scale Maize Productivity
Sign Up to like & getrecommendations! Published in 2019 at "Agriculture"
DOI: 10.3390/agriculture9110237
Abstract: Spatial variability in soil, crop, and topographic features, combined with temporal variability between seasons can result in variable annual yield patterns within a paddock. The complexity of interactions between yield-limiting factors such as soil nutrients… read more here.
Keywords: data spatial; farming data; spatial statistical; integration precision ... See more keywords
The Coexistence of Nanostores within the Retail Landscape: A Spatial Statistical Study for Mexico City
Sign Up to like & getrecommendations! Published in 2021 at "Sustainability"
DOI: 10.3390/su131910615
Abstract: This paper aims to improve understanding of the grocery retail landscape in a megacity in the developing world. Over the past ten years (i.e., 2010–2020), retail in the grocery sector in Mexico City has changed… read more here.
Keywords: grocery retail; city; spatial statistical; mexico city ... See more keywords
Can spatial statistical river temperature models be transferred between catchments
Sign Up to like & getrecommendations! Published in 2017 at "Hydrology and Earth System Sciences"
DOI: 10.5194/hess-21-4727-2017
Abstract: Abstract. There has been increasing use of spatial statistical models to understand and predict river temperature (Tw) from landscape covariates. However, it is not financially or logistically feasible to monitor all rivers and the transferability… read more here.
Keywords: temperature; spatial statistical; river; models transferred ... See more keywords