Information technology has now become an important part of spatial data management for sustainable geopsasial information planning and development. This research aims to develop webgis routing ...applications using open source GIS technology capable of providing dynamic routing systems, completing effective routing, and displaying route search results. The system is built with Client-Server architecture design consisting of QGIS as GIS software, OSM as open spatial data provider, HTML, CSS, Javascript as basic programming language, Leaflet, Boostrap, and JQuery as mapping library, XAMPP as Server, PostgreSQL/PostGIS as spatial database management system, Dijkstra as route engine library and PHP as REST API for Web Development Backend. The results showed that the routing WebGIS application was able to run well in finding routes based on the Point of Interest (POI) entered and be able to display the results of alternative routes when there were road closures. Based on the results of the study, the conclusion is the use of open source technology is able to produce a dynamic routing, can be modified, easy in maintenance, and many library options for web mapping.
This thorough analysis focuses on methods for choosing landfill sites in Iraq's Kurdistan Region, with a focus on the cities of Halabja and Koya in particular. The research investigates the concrete ...effects of present landfilling procedures by integrating Geospatial Information Systems (GIS) to illustrate the condition of garbage disposal and the corresponding environmental implications. This review aims to provide a thorough analysis and promote debate on the creation of sustainable waste management plans, the significance of using GIS in decision-making, and the requirement for creative solutions to enhance public health, environmental sustainability, and resource recovery in the Kurdistan Region of Iraq. The research underscores the importance of increased cooperation between relevant groups and institutions to enhance efficient waste handling. It also proposes potential directions for future exploration, such as more comprehensive inquiries into the effects of various weight allocation methods in AHP, SAW, and WLC procedures, as well as the possibility of advanced GIS technologies and alternative decision-making techniques to enhance the decision-making process.
Flood damage assessment is considered the essential tool for evaluating risk to civil and agricultural systems in land use planning. The validity of the studies’ outcome depends on the availability ...of data and their spatial distribution. The present study came to compute flood susceptibility maps utilizing two application models: (i) the frequency ratio, and (ii) the analytical hierarchy process. These models were then tested in the Khazir River basin using GIS with a selection of twelve flood conditioning factors. The flood inventory variables layer and flood-causing factors were created using remote sensing data, a digital elevation model, and secondary data from various sources. Then, the flood inventory map was highlight divided into training and test data, with 105 flood sites (70%) used for training and 45 sites (30%) used for testing. After applying the areas under the curve for the frequency ratio and analytical hierarchy process models, which were 90.6% and 88.9%, respectively, the final flood sensitivity maps showed similar results for the two models, which confirm the effectiveness of the adopted methodology. The study found a considerable spatial variance in flood sensitivity maps, as (21.06%) of the flooded areas are classified as having very low sensitivity to flooding, (24.09%) are classified as having low vulnerability to floods, and (23.79%) are classified as having moderate vulnerability, (24.10%) classified as highly vulnerable to flooding, and (6.96%) classified as highly vulnerable to flooding. Flood danger ranged from very low in mountain locations to very high in plain areas close to the riverbanks. Obtained results could be improved if a land-use planning policy will be applied, in order to establish a master plan for water resources development to avoid flood damage.
Historical exploration of flash flood events and producing flash-flood susceptibility maps are crucial steps for decision makers in disaster management. In this article, classification and regression ...tree (CART) methodology and its ensemble models of random forest (RF), boosted regression trees (BRT) and extreme gradient boosting (XGBoost) were implemented to create a flash-flood susceptibility map of the Bâsca Chiojdului River Basin, one of the areas in Romania that is constantly exposed to flash floods. The torrential areas including 962 flash flood events were delineated from orthophotomaps and field observations. Furthermore, a set of conditioning forces to explain the flash floods was constructed which included aspect, land use and land cover (LULC), hydrological soil groups lithology, slope, topographic wetness index (TWI), topographic position index (TPI), profile curvature, convergence index and stream power index (SPI). All models indicated the slope as the most important factor triggering the flash flood occurrence. The highest area under the curve (AUC) was achieved by the RF model (AUC = 0.956), followed by the BRT model (AUC = 0.899), XGBoost model (AUC = 0.892) and CART model (AUC = 0.868), respectively. The results showed that the central part of the Bâsca Chiojdului river basin, which covers approximately 30% of the study area, is more susceptible to flash flooding.
Panti asuhan adalah tempat untuk anak yatim piatu, anak yatim, serta anak-anak dari keluarga kurang mampu dan lainnya dapat menetap. Oleh sebab itu, panti asuhan juga banyak dilakukan oleh aktivitas ...sosial. Dinas Sosial Kota Padang menyatakan pada tahun 2018 terdapat 25 panti asuhan yang telah terdaftar. Untuk melaksanakan aktivitas sosial di panti asuhan, biasanya masyarakat langsung mendatangi panti asuhan yang dituju. Untuk melakukan aktivitas social nya terkadang perlu datang berkali-kali ke panti asuhan untuk kepastian dan pengurusan administrasi kegiatan sosial yang akan dilaksanakan. Dengan penerapan sistem informasi sebagai penyediaan informasi yang dapat digunakan melalui perangkat webGIS (Web Geographic Information System) maka semua permasalahan tersebut dapat diatasi. Pada penelitian ini dikembangkan pemetaan berbasi webGIS untuk Panti Asuhan Kota Padang yang dilengkapi dengan pendaftaran aktivitas sosial. Penelitian ini mengadopsi model pengembangan perangkat lunak Waterfall. Aplikasi ini telah diimplementasikan menggunakan bahasa pemrograman PHP dan Javascript. Hasil pengujian yang dilakukan oleh 5 orang pengguna menunjukkan bahwa sistem yang dibangun telah sesuai rancangan fungsional yang direncanakan.
Os impactos socioeconômicos e ambientais são derivados do crescente e acelerado processo de desenvolvimento urbano. Uma das técnicas adotada por municípios é o zoneamento ambiental para ...reconhecimento e delimitação de unidades ambientais conforme suas características físicas e fragilidades. Este trabalho tem como objetivo realizar um levantamento bibliométrico como proposta para entender as aplicações do zoneamento ambiental sob o contexto urbano dos últimos dez anos. Os procedimentos metodológicos se basearam nas ferramentas de busca avançada das bases de indexação Scopus e Web of Science (WoS). Após organizar as informações foram realizados dois tipos de análises, uma quantitativa e outra qualitativa. A análise quantitativa teve como suporte as planilhas desenvolvidas, tendo como produto final tabelas e gráficos. Já a análise qualitativa fundamentou-se na manipulação do software VOSviewer para elaborar os mapas de rede mediante as palavras-chave dos autores mais frequentes das publicações analisadas. O maior número de publicações encontrados foi de 1.361, os quais foram retornados pela base WoS. O Brasil apareceu na terceira posição em ambas as plataformas, apesar disso ao analisar os artigos retornados pela WoS foi visto que o trabalho com maior número de citações é de autoria brasileira.
To effectively control and prevent air pollution, it is necessary to study the influential factors of air quality. A number of previous studies have explored the relationships between air pollution ...and related factors. However, the methods currently used either cannot well address the multicollinearity problem or fail to explain the importance of the influential factors. Moreover, most of the existing literature limited their studied area in a city or a small region and studied factors in one aspect. There is a lack of studies that analyze the influential factors from the perspective of a country or take into consideration multiple variables. To fill the research gap, this paper proposes a multivariate analysis in the national scale to investigate the most important factors of air quality. In order to study as much influential factors as possible, 171 features ranging from environmental, demographical, economic, meteorological, and energy, were collected and analyzed. To tackle such a “big data” problem, a non-linear machine learning algorithm namely Extreme Gradient Boosting (XGBoost) is utilized to model the relationship and measure the variable importance. Geographical Information System (GIS) is employed to preprocess the diversified variables and visualize the results. Performance of XGBoost is compared with other models and its parameters are tuned using Bayesian Optimization. Experimental results of a case study in the U.S. show that our methodology framework can effectively uncover the important factors of air quality. Six kinds of factors are found to have the largest impact on air quality. Practical suggestions are also proposed from the six aspects to control and prevent air pollution.
•This study analyzed the impact factors on AQI of different counties in the U.S.•171 variables were considered to study the most influential ones.•XGBoost outperforms other commonly seen algorithms in modeling.•Six kinds of factors are found to be most influential on AQI on a national scale.
Renewable energy development and more specifically Wind Farm (WF) installation has been increased during the last years by most countries. A discipline that has been studied thoroughly is the impact ...of wind turbines on installation locations, during energy production or at the end of their life. Citizens’ attitudes, social and environmental factors are among the criteria affecting the selection of WFs installation locations. Various machine learning tools have been used in order to analyze the allocation of the Renewable Energy Systems (RES). In this paper a methodology based on computational geometry and Geographical Information Systems (GIS) is proposed in order to cluster the locations of Wind Turbines (WT) and define the boundaries of the areas that are affected by them. Delaunay Triangulation is selected as the main algorithm, since it is appropriate for handling geospatial data and it uses a geometric approach. Furthermore, algorithms based on graph theory are proposed in order to improve the efficiency of the methodology. The proposed methodology was implemented in locations of WTs in Greece and was compared to other known clustering algorithms. It was found that the locations of WTs in Greece are separated into 158 clusters. Some characteristics of the areas defined by the clusters, such as the distance from the protected areas, the distance from the closest airport and the number of residential areas that are within them, were computed and it was shown that these areas can be separated into 4 groups. The application aims to help policy makers to improve the effectiveness of their decisions by understanding in a better way which areas are more impaired or beneficial by the installation of WFs.
•This study deals with the Wind Farm installation problem for an entire country.•Wind Farm locations in Greece are clustered into 158 clusters.•The areas that are more beneficial or impaired by wind turbines are determined.•The mean number of residential areas per cluster is equal to 6.•79 out of 158 clusters do not contain any residential area.
Cycling has been recognized as one of the solutions to urban transportation challenges. In 2013, Singapore has announced the National Cycling Plan to significantly increase the cycling infrastructure ...and promote cycling across the entire country by 2030. Given Singapore's land constraints, planning the most effective cycling network is critical. Moreover, there has been growing pressure to incorporate public participation in planning decisions. In order to achieve ideal planning outcomes and greater transparency in planning, multiple criteria and the perspectives of different stakeholders need to be considered. This paper proposes a Geographical Information System-based multi-criteria decision analysis (GIS-MCDA) framework for the support of cycling paths planning in Singapore. It is positioned to address the lacuna in the literature that is dominated by western-centric case studies and a fixation on only infrastructural and objective factors in the planning of cycling paths. The proposed cycling paths planning support framework will be implemented in Woodlands Planning Area (WPA). The primary research questions are about where to build cycling paths in WPA and whether/how the cycling paths to be built will change based on different stakeholders' preferences. The cycling paths planning support framework is able to incorporate different stakeholders' preferences into various scenarios, hence can improve the engagement between stakeholders and contribute to greater transparency in Singapore's cycling paths planning. The limitations and further applications of the framework is also discussed.
•A GIS-MCDA based cycling paths planning support framework is proposed in this research.•A case study in Woodland Planning Area, Singapore is successfully conducted.•Three groups of stakeholders, i.e., the pubic, transport expert and government planner, are considered in the case.•The framework has the flexibility to be adapted to include more criteria and stakeholders for other research areas.
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