Application Of Geographic Information System Research Articles

A systematic literature review of applications of geographic information system in COVID-19 studies

Geographic information science (GIS) has established itself as a distinct domain and incredibly useful whenever the research is related to geography, space, and other spatio-temporal dimensions. However, the applications of GIS in the study of COVID-19 remained limited. In this systematic literature review, the current applications of GIS in COVID-19 studies were assesed. A total of 50 research articles related to applications of GIS were systematically retrieved and reviewed. There thematic groups were grouped, namely · The use of GIS for mapping COVID-19, · How to assess the impacts of the COVID-19 pandemic on socio-economies and environment, and · The assessment of the community vulnerability and risks during the pandemic. It was found that GIS shows great importance in the study of COVID-19. The wide range of applications offered by GIS could significantly improve how we fight the COVID pandemic.

Socioeconomic Barriers to Care for Pediatric Airways Utilizing Geographic Information Systems.

Geographic information systems (GIS) provide a unique set of tools to spatially analyze health care and identify patterns of health outcomes to help optimize delivery. Our goal is to create maps of pediatric tracheostomy patients using GIS to assess socioeconomic and other factors that impact postoperative care after discharge to home. A retrospective study was performed on patients (≤21 years old) who underwent tracheostomy at a tertiary care pediatric hospital from January 1, 2015 to December 31, 2020. Using GIS, we geocoded patient addresses and conducted spatial analyses of the relationship between patients and access to health care providers as well as vulnerable population factors including poverty, educational attainment, and single-parent households. A total of 156 patients were included. Patients initially discharged to transitional care (108/156, 69.2%) had significantly higher likelihood of presenting to the ED regardless of socioeconomic status (OR: 2.28, 95% CI: 1.03-5.05; p = 0.042). There was no relationship between ED visit rate and median household income, poverty level, and percentage of uneducated adults (p = 0.490; p = 0.424; p = 0.752). Median distance to the tertiary care pediatric hospital was significantly longer for patients with no ED visit (median = 61.28 miles; SD = 50.90) compared with those with an ED visit (median = 37.75 miles; SD = 35.92) (p = 0.002). The application of GIS could provide geo-localized data to better understand the healthcare barriers to access for children with tracheostomies. This study uniquely integrates medical record data with socioeconomic factors and social determinants of health. 4 Laryngoscope, 134:1919-1925, 2024.

Analisis Spasial Temporal Indeks Kekeringan dan Sebaran Hotspot dengan Pemanfaatan Data Satelit pada Kabupaten Ogan Komering Ilir dengan Metode Keetch Byram Drought Index (KBDI)

Analisis Spasial Temporal Indeks Kekeringan dan Sebaran Hotspot dengan Pemanfaatan Data Satelit pada Kabupaten Ogan Komering Ilir dengan Metode Keetch Byram Drought Index (KBDI)

Edukasi Penggunaan Sistem Informasi Geografis (SIG) sebagai Upaya Pencegahan Penyakit pada Puskesmas Rampal Celaket

Education on the use of Geographic Information Systems (GIS) is training that aims to increase the knowledge of puskesmas employees regarding the use of geographic information systems as an effort to prevent disease at the Rampal Celaket Health Center. This education uses lecture and discussion methods as well as assistance to participants through direct practice using the GIS application. After the training, participants' understanding increased with indicators of map layouts that were made quite well and fulfilled cartographical rules. The response of the participants was very responsive and enthusiastic in participating in the training from start to finish. This can be a consideration for carrying out further education so that the abilities and skills of participants can improve even better.

A Systematic Review of Disaster Management Systems: Approaches, Challenges, and Future Directions

Disaster management is a critical area that requires efficient methods and techniques to address various challenges. This comprehensive assessment offers an in-depth overview of disaster management systems, methods, obstacles, and potential future paths. Specifically, it focuses on flood control, a significant and recurrent category of natural disasters. The analysis begins by exploring various types of natural catastrophes, including earthquakes, wildfires, and floods. It then delves into the different domains that collectively contribute to effective flood management. These domains encompass cutting-edge technologies such as big data analysis and cloud computing, providing scalable and reliable infrastructure for data storage, processing, and analysis. The study investigates the potential of the Internet of Things and sensor networks to gather real-time data from flood-prone areas, enhancing situational awareness and enabling prompt actions. Model-driven engineering is examined for its utility in developing and modeling flood scenarios, aiding in preparation and response planning. This study includes the Google Earth engine (GEE) and examines previous studies involving GEE. Moreover, we discuss remote sensing; remote sensing is undoubtedly a valuable tool for disaster management, and offers geographical data in various situations. We explore the application of Geographical Information System (GIS) and Spatial Data Management for visualizing and analyzing spatial data and facilitating informed decision-making and resource allocation during floods. In the final section, the focus shifts to the utilization of machine learning and data analytics in flood management. These methodologies offer predictive models and data-driven insights, enhancing early warning systems, risk assessment, and mitigation strategies. Through this in-depth analysis, the significance of incorporating these spheres into flood control procedures is highlighted, with the aim of improving disaster management techniques and enhancing resilience in flood-prone regions. The paper addresses existing challenges and provides future research directions, ultimately striving for a clearer and more coherent representation of disaster management techniques.

Implementation of Web-GIS Forest Resource Potential Mapping Using Y-Model

Sukabumi is one of the West Java Province regions with the potential for forest resources. The lack of renewal in the way data is processed has led to the need to develop information systems for mapping potential forest resources focused on the Sukabumi region. In doing so, the development of the system will help the government manage forest resources more efficiently. In the system development process, the Y-Model Framework of Web-GIS Development is used as a development method that is a combination of waterfall and agile approaches followed by 4 phases, with a combination of geographic information system engineering with the help of ArcGIS as a tool for mapping and web-based application development contexts. At the development stage, it was also built using text-to-speech technology to provide voice capabilities for the information displayed. The development of web-based GIS applications will help facilitate access to information about potential forest resources in the Sukabumi region for the community and related parties. The results of the development of this system are visualized in the form of maps based on the Geographic Information System (GIS) and presented online through a web application. The success of using the Y-Model framework in the development of this system is demonstrated in the User Acceptance Test (UAT) test results through a questionnaire instrument distributed to respondents with an average value obtained above 82%, which shows the level of user satisfaction with the system has been well received and shows that the application has met the needs of the user.

Assessment of soil erosion hazard and its relation to land use land cover changes: Case study from alage watershed, central Rift Valley of Ethiopia

Soil erosion by water and wind is among the most crucial land degradation processes in Ethiopia. This is also the case for Alage watershed located in the cental Rift Valley system. This study aimed at assessment of soil erosion hazard and its relation to land use land cover change in the watershed during the period from 1984 to 2016 for a better land management. The study is based on application of Remote Sensing (RS) and Geographical Information System (GIS) to extract inputs factor values for the Revised Universal Soil Loss Equation (RUSLE). Time-series satellite imageries of Landsat TM 1984, ETM+ 2000 and OLI 2016 were used for land use land cover change detection and determination of cover management (C) factor of the RUSLE. Biophysical data such as rainfall, soil properties, land management practices including soil and water conservation measures within the watershed were collected using field survey and secondary data sources. Slope steepness and slope length factors were derived using Digital Elevaition Model (DEM). Long-term average annual soil loss rates were estimated by the RUSLE integrated with GIS for 1984, 2000 and 2016. Using satellite imageries, the land use land cover and changes within the watershed during the three periods were obtained through a supervised classification with maximum likelihood algorithim. The results of land use land cover change indicated that the proportion of rain-fed cropland, bare land and built up areas increased by 17.4%, 5.9% and 2.9% respectively over the three study period. In contrast the proportion of bush/shrub land, irrigated cropland, grass land, forested areas and waterbodies decresaed by 15.5%, 4.7%, 3.4%, 2.3% and 0.3% respectively during the same period. Estimated average annual soil loss rates showed an increasing trend from 24.3 ton ha−1 yr−1 in 1984 to 38 ton ha−1 yr−1 in 2016. Increasing trends of average annual soil loss rate is attributed to increased proportion of cropland, bare land and built up areas during those periods leading to decreased protective vegetation cover. Hotspot areas within the watershed require implementation of land management practices to prevent further degradation and expansion of gullies. This study is relevant to demonstrate environmental implication of land use land cover change for future land management practices and land use policy in the Rift Valley of central Ethiopia.

Application of Geographic Information System for Preparing the Bill of Quantities of Construction Projects

The information required for construction quantities surveying is not only generated by various participants in different construction phases but also stored in different forms including graphics, text, tables, or various combinations of the three. To report a bill of quantities (BOQ), the project manager has to continuously excerpt information from various resources and record it on papers. Without adequate staff and time, this repetitive and tedious process is difficult for the project manager to handle properly and thus reduces the effectiveness and the accuracy of the quantities surveying process which creates problems during the design, tender, and construction supervision of construction projects for designers and contractors practicing because receipts are based upon actual quantities, such variations have an obvious impact on the contractor’s cash flow, once the actual quantities frequently vary from the estimated quantities listed in the BOQ. Hence, automation quantity surveying system has been developed by using GIS to extract the data required for the quantity of different components of any construction project from AutoCAD drawings (spatial data), to report a BOQ after querying, manipulation, and analyzing these data. The system has been implemented on the construction project of Al khawarizmy College at Baghdad University in Baghdad. The main results of using this system are automatic generation a bill of quantity (BOQ) directly from design drawing, with overcome to design changing, accurate, fast, and effective method for estimating the quantities, fewer errors in cost estimating, and better documentation for continuously reusing information in all construction phases. The accuracy of GIS quantities had been proved by comparing these quantities with the quantities of site surveying. Then determining the accuracy percentage (A%) of GIS quantities which equals (98.85%), and the regression line that equals 0.999. These values mean; there are big correlation between the estimated quantities by GIS and the quantities of site surveying.

Spatial analysis of groundwater quality in Bulawayo, Zimbabwe: Geogenic and anthropogenic contributions

Over-exploitation of groundwater owing to urbanisation and industrialisation compromises its quality, spatially and temporally. The objective of this study was to analyse the spatial groundwater quality due to geogenic and anthropogenic activities in Bulawayo, Zimbabwe. Eighty boreholes were mapped and sampled for selected water quality parameters. The groundwater quality parameters that were adopted in this study were the temperature, electric conductivity, dissolved oxygen, pH, bicarbonate alkalinity, chloride, sodium, calcium, magnesium, sulphates, chlorides, potassium, iron, nitrates, fluoride, phosphates, arsenic, aluminium, zinc, strontium, barium and manganese. Groundwater samples were evaluated for drinking water suitability as per the 2011 World Health Organization (WHO) guidelines. Prediction of groundwater quality parameters at unsampled points was achieved by using the Inverse Distance Weighted interpolation method using Geographic Information Systems (GIS) software. Population, land use and geological data were superimposed onto the groundwater quality to generate integrated maps. There were noticeable distinctions in groundwater quality within different geological areas, particularly for fluoride, arsenic, sodium, calcium, chloride and strontium, signifying natural groundwater contamination. High levels of nitrate were detected near agricultural areas and in medium to high-density residential areas suggesting possible contamination from nitrogenous fertilizers and leakages from wastewater infrastructure respectively. The application of GIS to spatially map water quality, can be used by hydrogeologists and local authorities in planning, monitoring and protecting groundwater resources.

Low carbon urban rail transit station city integration based on building information modeling and sensor fusion

In order to better play the role of information technology in the construction management of rail transit projects, we analyze the application of geographic information system (GIS) + building information modeling (BIM) technology in the construction management of rail transit projects by combining the characteristics of GIS+BIM technology and aiming at the overall improvement of project management efficiency and technical management methods. This study is mainly conducted with the support of BIM technology and sensing technology. In the design stage, carbon emissions are classified according to the source activities of building carbon emissions, and the carbon emissions in the building life cycle are quickly calculated by using BIM technology, and the design is optimized according to the analysis of the budget results. The experimental results prove that the low-carbon building evaluation standard cloud model of all-electronic computer interlocking system for urban rail transit established in this study, combined with the comprehensive weighting results, calculates the low-carbon index cloud model and comprehensive cloud model, and derives the operational safety risk level of the all-electronic computer interlocking system, and the model optimization effect is good. Practice shows that GIS+BIM technology can realize the refinement and informatization of construction management, and has a broad development space in the field of urban rail transit and urban underground space construction.

Revolutionizing spatial data analysis: unveiling a cutting-edge approach for batch coordinate transformation

Spatial data have become indispensable across various disciplines and provide crucial insights. These data are associated with coordinates and different coordinate systems. However, the diversity of geospatial data formats and disparate coordinate systems present challenges in harmonizing them for analysis. This study addresses the pressing need for an improved approach to the batch transformation of commonly used coordinate systems in Sri Lanka. First, we examine different coordinate transformation systems and identify their limitations. Subsequently, we present a comprehensive procedure for seamless coordinate transformations between various systems. To demonstrate the practical applications of our approach, we have developed a user-friendly desktop application capable of simultaneously converting input coordinates into multiple systems. This application streamlines the process for users unfamiliar with sophisticated geographic information system (GIS) applications and datum transformations. We validate the output coordinates transformed using our application by comparing them with those obtained from established applications such as ArcGIS and epsg.io. The results, which have been assessed based on the root mean squared error (RMSE) and mean absolute error (MAE), indicate high levels of accuracy, with a maximum RMSE of approximately 0.013 and a maximum MAE of approximately 0.008. A performance evaluation reveals that our approach is exceptionally efficient, outperforming ArcGIS and epsg.io by 40x and 60x, respectively. Moreover, the proposed pipeline holds potential as an infrastructure for developing web applications, mobile applications, and plugins for popular GIS platforms such as ArcGIS and QGIS.

Heavy Metal Occurrence, Pathways, and Associated Socio-ecological Risks in Riverine Water: Application of Geographic Information System, Multivariate Statistics, and Risk Assessment Models

Heavy Metal Occurrence, Pathways, and Associated Socio-ecological Risks in Riverine Water: Application of Geographic Information System, Multivariate Statistics, and Risk Assessment Models

SISTEM INFORMASI GEOGRAFI FASILITAS MASJID DI KELURAHAN JAKASAMPURNA, BEKASI BARAT

Geographic Information Systems (GIS) have become an important tool in the management of spatial information in various fields, including religion and belief. Regarding Islamic places of worship, mosques have a central role as centers of worship, community activities, and social. With the increasing role of geospatial technology, the application of GIS in the management and mapping of mosque locations has become an interesting and relevant research area. This abstract discusses the use of GIS technology in the management and mapping of mosque locations. The author outlines how geospatial technology has been used to collect, integrate, and analyze mosque-related data, such as the mosque's geographic location, existing facilities, and other related data. The purpose of this writing is to build a Geographic Information System that can convey information in the form of locations and facilities in the Jakasampurna area mosque.In addition, this paper also considers the benefits of implementing GIS in mosque management and mapping, including management efficiency, community needs analysis, and sustainable development planning.

Application of Remote Sensing in Detecting and Monitoring Water Stress in Forests

In the context of climate change, the occurrence of water stress in forest ecosystems, which are solely dependent on precipitation, has exhibited a rising trend, even among species that are typically regarded as drought-tolerant. Remote sensing techniques offer an efficient, comprehensive, and timely approach for monitoring forests at local and regional scales. These techniques also enable the development of diverse indicators of plant water status, which can play a critical role in evaluating forest water stress. This review aims to provide an overview of remote sensing applications for monitoring water stress in forests and reveal the potential of remote sensing and geographic information system applications in monitoring water stress for effective forest resource management. It examines the principles and significance of utilizing remote sensing technologies to detect forest stress caused by water deficit. In addition, by a quantitative assessment of remote sensing applications of studies in refereed publications, the review highlights the overall trends and the value of the widely used approach of utilizing visible and near-infrared reflectance data from satellite imagery, in conjunction with classical vegetation indices. Promising areas for future research include the utilization of more adaptable platforms and higher-resolution spectral data, the development of novel remote sensing indices with enhanced sensitivity to forest water stress, and the implementation of modelling techniques for early detection and prediction of stress.

Geo-Informatics for the Future: A Systematic Literature Review on the Role of WebGIS in Infrastructure Planning and Development

The crucial role of geographic information in contemporary transportation infrastructure planning underscores the need for efficient and practical tools. This systematic literature review aims to provide a comprehensive overview of the current evidence concerning Web Geographic Information Systems (WebGIS) application in infrastructure planning. It further identifies potential avenues for future research. The study leverages digital libraries to source peer-reviewed papers and published journals, evaluating the characteristics and applications of WebGIS. The review offers an in-depth analysis of WebGIS implementation, focusing on flexibility, location, utilized sectors, and environmental impacts. The methodology involves identifying research topics, developing a search plan, and selecting relevant articles using rigorous search techniques. The selected articles undergo a thorough quality assessment before data extraction. This review seeks to answer key research questions: How does WebGIS aid infrastructure management in agricultural settings? Can WebGIS be implemented free of charge? Is it flexible and user-friendly? Can WebGIS address the issue of declining seawater quality? Has WebGIS been successfully implemented for infrastructure planning globally? This review aims to shed light on the potential of WebGIS in shaping future infrastructure planning and to encourage further exploration in this field.

Sistem Informasi Geografis Pemetaan dan Prediksi Pertumbuhan Penduduk Menggunakan Regresi Linear

Geographic Information System (GIS) is a computer-based information system that is used to store and manipulate geographic information. One of the potential applications of GIS is the potential of certain government areas, such as mapping the potential of villages and sub-districts. Tubbitaramanu Subdistrict (TUTAR) Polewali Mandar Regency, most of its territory has not been accommodated on the current digital map platform, so the application of GIS. This is to make it easier for the local government and the general public to obtain information. The purpose of GIS is to find out predictions of population growth, recommend recommendations for the construction of health facilities based on standards, and implement a Geographic Information System for Predicting Population Growth. This study uses the Linear Regression method using population data collected from 2014 to 2020 as data used in the prediction system and can provide recommendations. According to the results, the Tutar District shows that from 2022 to 2027 it requires the construction of pustu health facilities.

BUILDING MAINTENANCE: DETERMINE OF FUNGAL GROWTH ON OFFICE BUILDING USING GEOGRAPHIC INFORMATION SYSTEM (GIS)

This paper presents the preliminary concept using a Geographic Information System (GIS) to determine fungal growth in an office building, especially in the UiTM Perak branch. As we all know, various viruses and bacteria exist in our environment. The quality of the air affects our health throughout the day. If the quality of the air is polluted, then it is very likely that we will get sick and vice versa. In this research the methodology applied is using geocoding in GIS applications. Analysis using a GIS is used to find the contributing factors to the reproduction of fungi on the walls of the buildings being studied. Based on the obtained results it can be concluded that the proposed methodology creates a convenient, efficient, and inexpensive tool for massive inspection of building resources in large areas. There are several processes to investigate the effects of buildings factors contributing to fungal growth cases such as the creation of rooms database, temperature derivation process and lastly data analysis using the attributes spatial table. Finally, the location of the rooms where the fungal growth is determined is shown by the map results.

Landscape-scale mapping of soil fungal distribution: proposing a new NGS-based approach

Soil fungi play an indispensable role in the functioning of terrestrial habitats. Most landscape-scale studies of soil fungal diversity try to identify the fungal taxa present at a study site and define the relationships between their abundance and environmental factors. The specific spatial distribution of these fungi over the site, however, is not addressed. Our study’s main objective is to propose a novel approach to landscape-scale mapping of soil fungi distribution using next generation sequencing and geographic information system applications. Furthermore, to test the proposed approach and discuss its performance, we aimed to conduct a case study mapping the spatial distribution of soil fungi on the Wielka Żuława island. The case study was performed on the Wielka Żuława island in northern Poland, where soil samples were collected every 100 m in an even grid. The fungal taxa and their relative abundance in each sample were assessed using the Illumina platform. Using the data obtained for the sampled points, maps of soil fungi spatial distribution were generated using three common interpolators: inverted distance weighted (IDW), B-spline, and ordinary Kriging. The proposed approach succeeded in creating maps of fungal distribution on Wielka Żuława. The most abundant groups of soil fungi were Penicillium on the genus level, Aspergillaceae on the family level, and ectomycorrhizal fungi on the trophic group level. Ordinary Kriging proved to be the most accurate at predicting relative abundance values for the groups of fungi significantly spatially autocorrelated at the sampled scale. For the groups of fungi not displaying spatial autocorrelation at the sampled scale, IDW provided the most accurate predictions of their relative abundance. Although less accurate at predicting exact relative abundance values, B-spline performed best in delineating the spatial patterns of soil fungi distribution. The proposed approach to landscape-scale mapping of soil fungi distribution could provide new insights into the ecology of soil fungi and terrestrial ecosystems in general. Producing maps of predicted fungal distribution in landscape-scale soil fungi diversity studies would also facilitate the reusability and replicability of the results. Outside the area of research, mapping the distribution of soil fungi could prove helpful in areas such as agriculture and forestry, nature conservation, and urban planning.

TEACHING GEOGRAPHIC INFORMATION SCIENCE CONCEPTS WITH QGIS AND THE LIVING TEXTBOOK – TOWARDS A SUSTAINABLE AND INCLUSIVE DISTANCE EDUCATION

Abstract. In 2020, many students could not travel due to the restrictions imposed by the COVID pandemic. In response, Faculty ITC of the University of Twente offered the online course Principles and Applications of Geographic Information Systems and Earth Observation as the first quartile of a full presential MSc. Programme. The course used the flipped classroom strategy to enhance student's ability to choose the learning strategy that best fitted their learning styles and was developed around four principles: (1) The course was Exercise led - students were introduced to concepts from the exercise descriptions; (2) Every concept taught was demonstrated and operationalized; (3) To emphasize the focus on concept learning, only two software tools were used - QGIS and the Living Textbook; (4) The software tools should be inclusive and encourage technological independence. The first three elements were evaluated by comparing the student feedback, the evaluation questionnaires and the academic attainment levels of the 2020 course with the in-house. The inclusiveness and technological independence were measured via the institutional impact. The results were positive for the new course setup, with students performing slightly better when compared with 2019 in-house edition of the course. The course had a significant institutional impact by contributing to a deeper commitment to open-source software tools. Open source is now the primary choice for teaching, with ITC becoming a QGIS-certified organization.

GIS Application in Environmental Management: A Review

The role of environmental management is extremely important in human life because of its contribution to environmental protection and strategies. In modern society, nevertheless, facing the challenges in land, water, and air quality management in reality is unavoidable. Understanding the information on variability and features of environmental issues is necessary to support decision-makers in establishing environmental management planning. Spatial information and data should be considered as basic initial knowledge of environmental management. Among various technologies, Geographic Information Systems (GIS) is known as one of the most popular tools to store, analyze, and visualize data relating to geographically referenced information which can mitigate these challenges more effectively and accurately. The main purpose of this paper is to emphasize how GIS applications in environmental management, discuss the challenges of GIS technology in environmental management, and provide recommendations for future research directions. Many articles over the last decades were reviewed to highlight the application of GIS in environmental management. These results indicated GIS applications support land, water, air quality, and waste management. Moreover, it is a useful tool to monitor and assess environmental quality and in environmental planning and decision-making. For the limitation of GIS application, it is obvious that accuracy assessment and sensitivity analysis should be noticed and assessed although GIS application may strongly support decision-making in environmental management. Emerging GIS technologies and tendencies could help address these challenges. In future, GIS should be integrated along with new technologies and different decision-making algorithms in further steps for developing and supporting spatial decision-support systems more efficiently.