Results 121 to 130 of about 10,940,549 (311)
Regional Spatial Management Based on Supply-Demand Risk of Ecosystem Services-A Case Study of the Fenghe River Watershed. [PDF]
Zhang H +5 more
europepmc +1 more source
Interstitial lung disease (ILD) is a significant cause of morbidity and mortality in patients with inflammatory rheumatic disorders (IRDs). High‐resolution computed tomography (HRCT) is widely considered the gold standard for the noninvasive assessment of ILD; however, its interpretation is constrained by substantial interobserver variability and the ...
Alexander Pfeil +7 more
wiley +1 more source
Spatial clustering method for geographic data [PDF]
In the process of visualizing quantitative spatial data, it is necessary to classify attribute values into some class divisions. In a previous paper, the author proposed a classification method for minimizing the loss of information contained in ...
Osaragi, Toshihiro
core
Automated Hand Flexor Tendon–Thickness Measurement in Systemic Sclerosis
Objective Systemic sclerosis (SSc) can affect flexor tendons, contributing to hand function problems and reduced quality of life. Tendon changes are currently assessed with ultrasonography and measured manually, a time‐consuming process prone to interobserver variability.
Mark Greveling +4 more
wiley +1 more source
Spatial data infrastructure for catchment management: a case study of Condamine Catchment, Australia
Catchment management issues are characterised by multiple stakeholders and multiple goals which cut across traditional as well as administrative boundaries.
Apan, Armando +2 more
core +1 more source
Spatial Management of Fisheries
The overall project objective was to develop, calibrate, and refine an integrated spatially explicit bioeconomic model of the California sea urchin fishery. The model was designed to gain some insights into how spatial management measures, primarily reserves, might impact both the biological and economic health of a fishery in general, as well as how ...
WILEN, JAMES E, Botsford, Louis W.
openaire +2 more sources
dynoGP: Deep Gaussian Processes for Dynamic System Identification
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli +3 more
wiley +1 more source
Workbook for Quantitative Methods and Socio-Economic Applications in GIS
This webinar will introduce the project on "the Workbook for Quantitative Methods and Socioconomic Application in GIS", and how to join the spatial data lab on those ongoing spacial social science research and development ...
Spatial, Data Lab
core +1 more source
The chemistry of the Stara River changes along its course due to both natural processes and human activities. Its chemical composition is influenced by tributary inflows, groundwater infiltration, and anthropogenic pollution.
Anna Bojarczuk, Anna Biernacka
doaj +1 more source
Uncertain Spatial Data Management: An Overview
Both the current trends in technology such as smartphones, general mobile devices, stationary sensors, and satellites as well as a new user mentality of using this technology to voluntarily share enriched location information produces a flood of geo-spatial and geo-spatiotemporal data.
openaire +2 more sources

