[HTML][HTML] Artificial intelligence and visual analytics in geographical space and cyberspace: Research opportunities and challenges

M Chen, C Claramunt, A Çöltekin, X Liu, P Peng… - Earth-Science …, 2023 - Elsevier
In recent decades, we have witnessed great advances on the Internet of Things, mobile
devices, sensor-based systems, and resulting big data infrastructures, which have gradually …

Modeling of spatial stratified heterogeneity

J Guo, J Wang, C Xu, Y Song - GIScience & Remote Sensing, 2022 - Taylor & Francis
Spatial stratified heterogeneity (SSH) refers to the geographical phenomena in which the
geographical attributes within-strata are more similar than the between-strata, which is …

Spatiotemporal evolution of desertification based on integrated remote sensing indices in Duolun County, Inner Mongolia

B Zongfan, H Ling, J Xuhai, L Ming, L Liangzhi… - Ecological …, 2022 - Elsevier
Desertification causes not only a reduction of vegetation cover and surface moisture but also
the expansion of sandy land. Considering that the modified soil adjusted vegetation index …

[HTML][HTML] Priorities identification of habitat restoration for migratory birds under the increased water level during the middle of dry season: A case study of Poyang Lake …

G Wang, H Wu, J Dai, Y Xiong, Y Long, X Cai, S Mo… - Ecological …, 2023 - Elsevier
The distribution of wetland ecosystem restoration sites is uneven and resources are limited,
so priority identification is essential for rational resource allocation and reduction of …

[HTML][HTML] Comparison of spatial interpolation methods for distribution map an unmanned surface vehicle data for chlorophyll-a monitoring in the stream

E Kim, SH Nam, CH Ahn, S Lee, JW Koo… - … Technology & Innovation, 2022 - Elsevier
This study aims to comparatively evaluate the interpolation methods to estimate the
chlorophyll-a concentrations in a spatial distribution map using the unmanned surface …

Industrial excess heat recovery in district heating: Data assessment methodology and application to a real case study in Milano, Italy

A Dénarié, M Muscherà, M Calderoni, M Motta - Energy, 2019 - Elsevier
This work deals with the mapping of industrial excess heat recovery through district heating.
In this paper a methodology to estimate industrial waste heat recovery in a given territory is …

Motivation inspiring confidence: effect of scenario-based learning on self-confidence among prelicensure nursing students

ZI Rashwan - Teaching and Learning in Nursing, 2023 - Elsevier
Clinical training is the heart and soul of nursing education. Practicing nursing skills in a
structured nonthreatening interactive environment affords a motivating learning experience …

Digital soil assessment of soil fertility for Thai jasmine rice in the Thung Kula Ronghai region, Thailand

S Srisomkiew, M Kawahigashi, P Limtong, O Yuttum - Geoderma, 2022 - Elsevier
Digital soil assessment (DSA) is an application for the interpretation of digital soil mapping
(DSM) outputs for evaluating soil and related environmental factors. However, DSA has not …

Integrating spatial data analysis functionalities in a GIS environment: Spatial Analysis using ArcGIS Engine and R (SAAR)

H Koo, Y Chun, DA Griffith - Transactions in GIS, 2018 - Wiley Online Library
Spatial data analysis (SDA) tools to efficiently handle and explore spatial data have become
readily available. Although these SDA tools have their own strengths and purposes, they …

A general model for creating robust choropleth maps

W Mu, D Tong - Computers, Environment and Urban Systems, 2022 - Elsevier
Choropleth maps visualize areal geographical data by grouping data into a few map classes
and assigning different colors, shades, or patterns. Recent studies show that data …