Article
Green & Sustainable Science & Technology
Yan Zhang, Bak Koon Teoh, Limao Zhang, Jiayu Chen
Summary: Conventional building energy analysis methods often overlook the spatial and temporal heterogeneity of energy consumption. This study proposes a geographically and temporally weighted regression (GTWR) model to improve the accuracy and reliability of building energy modeling. The results show that the GTWR model outperforms other models in terms of goodness-of-fit and average absolute error. The number of floors and energy stars are identified as the most significant factors in evaluating site energy use intensity (EUI).
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Engineering, Electrical & Electronic
Amarachi Umunnakwe, Masood Parvania, Hieu Nguyen, John D. Horel, Katherine R. Davis
Summary: This paper presents a data-driven wildfire prediction model and a two-stage framework to assess the power system-wildfire risk. Experimental results show that the proposed model achieves the best performance in wildfire ignition detection and enables risk-aware operation of the power system.
IET GENERATION TRANSMISSION & DISTRIBUTION
(2022)
Article
Computer Science, Theory & Methods
Md Mahbub Alam, Luis Torgo, Albert Bifet
Summary: In the past decade, a significant amount of research work has been done in the field of spatial and spatio-temporal data analytics, aiming to develop algorithms and technologies for processing, analyzing, and visualizing these types of data. The existing ecosystem of systems can be categorized into spatial databases, big spatial data processing infrastructures, and programming languages and GIS software. This survey explores the entire ecosystem of spatial and spatio-temporal analytics and portrays its importance and future.
ACM COMPUTING SURVEYS
(2022)
Article
Environmental Sciences
Seyedeh Zeinab Shogrkhodaei, Seyed Vahid Razavi-Termeh, Amanollah Fathnia
Summary: The study focused on the Spatio-temporal modeling and preparation of PM2.5 risk mapping in the urban area of Tehran, Iran. Different parameters' importance and impacts were analyzed under seasonal variations.
ENVIRONMENTAL POLLUTION
(2021)
Article
Environmental Sciences
Tanushri Jaiswal, Dalchand Jhariya, Surjeet Singh
Summary: This study demonstrates the use of remote sensing and Geographic Information System (GIS) to extract land surface temperature (LST) from the Landsat datasets. The research focuses on the lower catchment area of the Kharun river in Chhattisgarh, India, and examines how land use has changed over time and its impact on LST. The findings reveal an increase in LST due to urbanization, with urban areas experiencing higher temperatures compared to forest and water cover.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Water Resources
Solomon Abirdew Yirga
Summary: This study assessed the spatial and temporal drought variability in central Ethiopia, revealing that frequent and extreme drought events are mainly concentrated in the eastern part of the region. The findings suggest a possible threat to water resources and rain-fed farming in the area, and recommend further exploration of additional drought indices.
JOURNAL OF WATER AND CLIMATE CHANGE
(2021)
Article
Geography
Die Zhang, Yong Ge, Alfred Stein, Wen-Bin Zhang
Summary: This study proposes an evaluation-based weighted PageRank (EWPR) algorithm to assess the reputation of VGI contributors. The research suggests that credibility based on reputation is a popular indicator of VGI quality, with a high correlation between credibility and VGI characteristics.
TRANSACTIONS IN GIS
(2021)
Article
Water Resources
Frsat Abdullah Ababakr, Kaywan Othman Ahmed, Ata Amini, Mehdi Karami Moghadam, Hueseyin Goekcekus
Summary: A groundwater quality map was created and evaluated to assess the quality and changes in groundwater in Erbil, Iraq. The water quality index (WQI) was calculated based on 13 parameters, showing a decrease in water quality in 2017 compared to previous years. Untreated domestic and industrial wastewater were identified as the main cause of groundwater pollution in the city.
APPLIED WATER SCIENCE
(2023)
Article
Chemistry, Multidisciplinary
Yijiang Zhao, Xingcai Wei, Yizhi Liu, Zhuhua Liao
Summary: This paper proposes a model of contributor's reputation based on the semantic similarity of ontology concepts, which calculates the contributor's evaluation reputation by synthesizing the semantic similarity, geometric similarity, and topological similarity of object versions. The experimental results show that the proposed model can eliminate evaluation bias caused by semantic changes between versions and the obtained user's reputation is positively correlated with data quality.
APPLIED SCIENCES-BASEL
(2022)
Article
Green & Sustainable Science & Technology
Ricardo Guicho, Gabriela Medeiros, Jackline Diane Zambao, Mailor Wellinton Wedig Amaral, Maria Clara Pilatti, Maritane Prior
Summary: The hydroelectric crisis in Brazil has led to studies on the decentralization of electric energy generation, and this article presents an analysis of energy complementarity in the western Parana region. The study examines the availability of renewable energy sources using historical data and GIS, and identifies spatial and temporal complementarity.
ENVIRONMENTAL PROGRESS & SUSTAINABLE ENERGY
(2023)
Article
Computer Science, Artificial Intelligence
Yumei Sun, Chuanming Tang, Hui Luo, Qingqing Li, Xiaoming Peng, Jianlin Zhang, Meihui Li, Yuxing Wei
Summary: In this paper, a spatio-temporal joint-modeling tracker named STTrack is proposed for continuous object tracking in video sequences. The proposed method concentrates on the temporal connection of the object by employing a time-sequence iteration strategy (TSIS) and captures the spatio-temporal correlation of the object between frames using a novel spatial temporal interaction Transformer network (STIN). Experimental results demonstrate that STTrack achieves excellent performance on six tracking benchmark datasets while operating in real-time.
KNOWLEDGE-BASED SYSTEMS
(2024)
Article
Environmental Sciences
Saba Yousafzai, Rashid Saeed, Ghani Rahman, Sidra Farish
Summary: Urbanization is the main driver of global environmental and land use land cover changes. This study used Geographic Information System to analyze the changes in land use and land cover in Peshawar district and linked the results with environmental aspects and DPSIR framework. The results showed a significant increase in vegetation cover due to government afforestation projects, but also a major expansion in built-up areas. The adverse effects of urbanization on the natural environment should be addressed by the government and environmental protection agencies.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Green & Sustainable Science & Technology
Xiaoying Shi, Yinliang Xu, Qinglai Guo, Hongbin Sun
Summary: This paper proposes a trip-chain-based EV resource aggregation model and formulates a bilevel optimization model to enable the participation of EV aggregators in day-ahead dispatch while minimizing system operation cost and satisfying various constraints. Experimental results demonstrate that the proposed approach outperforms existing methods in terms of computational efficiency and system operation cost.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
(2022)
Article
Engineering, Marine
Mostafa Farrag, Gerald Corzo Perez, Dimitri Solomatine
Summary: The research focuses on the complexity and effectiveness of grid-based spatial hydrological models, and finds that spatial resolution and routing method choices have significant impacts on model results through experiments and theoretical analysis.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2021)
Article
Environmental Sciences
Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi-Niaraki, Soo-Mi Choi
Summary: The aim of this study was to optimize the parameters of a support vector regression (SVR) model for spatio-temporal modeling of asthma-prone areas in Tehran, Iran using genetic algorithm (GA) and teaching-learning-based optimization (TLBO) algorithm. The results showed that the SVR-GA and SVR-TLBO models had higher accuracy than the SVR model in predicting asthma occurrence in different seasons.
GEOCARTO INTERNATIONAL
(2022)
Article
Geography
Yijiang Zhao, Wentao Yang, Yizhi Liu, Zhuhua Liao
Summary: Numerous studies have demonstrated the high positional quality of OpenStreetMap (OSM) data, but the thematic attributes of OSM objects can undergo multiple modifications, leading to semantic heterogeneity. Identifying transition patterns within OSM feature classes is crucial for enhancing the efficiency of data updates.
TRANSACTIONS IN GIS
(2022)
