Development Of GIS Research Articles

Geographical Information System of Bus and Travel Counter in Padang City Using BFS Method Based on Mobile Web

Purpose: One of the main objectives of the research is the BFS (Breadth-First Search) algorithm method in the search for nearby bus and travel counters using GPS found on each device used in the search process. Each smartphone produces a different coordinate point with an average distance difference of 30.2 meters to the hardware coordinate point. Each GPS embedded in the smartphone will process the data according to the location conditions of the user's point of existence. The methodology for system development is a standard process for a team of developers to connect all the steps needed in analyzing, designing, implementing, and maintaining information systems. Methods: The methodology becomes a guideline in system development activities in SDLC. The SDLC model used in this study is the WaterFall Model. Result: The results of this study are expected to facilitate the public in booking tickets and to find the nearest location from the bus and travel counters. Novelty: The novelty of this research is the development of GIS as a search for the location of bus and travel counters using the breadth-first search algorithm. This research can help the community find the location of the nearest bus and tourist counter in the city of Padang.

Conceptual programming in GIS development

The article explores the application of conceptual programming methods in the development of software for geographic information systems. The connection between conceptual and functional programming through the apparatus of functional grammars is shown. It is proved that a natural language in conceptual programming can be expressed through a domain-specific language, which is an integral part of language-oriented programming. The article proposes the implementation of conceptual programming ideas by combining functional and language-oriented programming styles. It is proved that this approach is more acceptable in comparison with the imperative approach for conceptualizing the subject area. Approach implementation example for a geographic information system for maintaining an address register is given. The example uses the multi-paradigm functional programming language F#. The article proposes a new approach to constructing algorithms called constructive algorithms. It is based on the principles of conceptual design and conceptual programming. This approach improves the quality and speed of geographic information systems development through the use of ontological algorithms.

An innovative hybrid technique for road extraction from noisy satellite images

Remote sensing takes an important role in the detection and monitoring of natural resources. It is also used in abundant fields, including geography, topographical survey, and geoscience disciplines such as land monitoring, forest management, crop identification, soil mapping, identification of ocean resources, road extraction, etc. This road extraction has a vital application in which it plays a key role in the development of GIS. Automatic updating of GIS information has become very important in our daily life. Semi-automated road extraction had a problem of computational complexity, high rate; consume a large amount of manpower and time. A fully Automated process is better than this but due to the quality of RSI, pre-processing techniques, segmentation, etc., the extraction differs. This paper proposes a new hybrid technique for the extraction of roads with better accuracy. Gaussian filter and CLAHE are used to improve the quality of the image, and to reinforce the features with the neighboring pixels. This approach of extraction from RSI images is based on Histogram equalizer, fuzzy – c mean algorithm. This is achieved by mat-lab and applies to high-resolution satellite images.

Development of a Web GIS for small-scale detection and analysis of COVID-19 (SARS-CoV-2) cases based on volunteered geographic information for the city of Cologne, Germany, in July/August 2020

BackgroundVarious applications have been developed worldwide to contain and to combat the coronavirus disease-19 (COVID-19) pandemic. In this context, spatial information is always of great significance. The aim of this study is to describe the development of a Web GIS based on open source products for the collection and analysis of COVID-19 cases and its feasibility in terms of technical implementation and data protection.MethodsWith the help of this Web GIS, data on this issue were collected voluntarily from the Cologne area. Using house perimeters as a data basis, it was possible to check, in conjunction with the Official Topographic Cartographic Information System object type catalog, whether buildings with certain functions, for example residential building with trade and services, have been visited more frequently by infected persons than other types of buildings. In this context, data protection and ethical and legal issues were considered.ResultsThe results of this study show that the development of a Web GIS for the generation and evaluation of volunteered geographic information (VGI) with the help of open source software is possible. Furthermore, there are numerous data protection and ethical and legal aspects to consider, which not only affect VGI per se but also affect IT security.ConclusionsFrom a data protection perspective, more attention needs to be paid to the intervention and post-processing of data. In addition, official data must always be used as a reference for the actual spatial consideration of the number of infections. However, VGI provides added value at a small-scale level, so that valid information can also be reliably derived in the context of health issues. The creation of guidelines for the consideration of data protection, ethical aspects, and legal requirements in the context of VGI-based applications must also be considered.Trial registration The article does not report the results of a health care intervention for human participants

RETRACTED ARTICLE: Mountain soil characteristics and agricultural economic growth based on high-resolution remote sensing images

The land is the most basic support condition for agricultural planting in our country. For the development of the rural economy, strengthening the use of land and the transformation of land is essential. The rational use of land for transformation in rural areas is an important way to promote rural economic development. Soil water plays a very important role. Moreover, soil moisture is also an important data for agricultural scientists to conduct research on agricultural economy and hydrology. Strengthen the protection and attention to soil water so that the water in the land can be recycled and used reasonably. At present, the remote sensing method is mainly used for soil moisture measurement. Especially the development and perfection of GIS have made the estimation of the content of water molecules in the soil more accurate. Regarding the land situation in impoverished mountainous areas, it is necessary to improve the availability of cultivated land by strengthening scientific and technological means, as well as the coordinated development of the transformation of cultivated land’s functional form and spatial form. In this way, the functionality of the arable land can be well utilized, and at the same time, the land can be consolidated and optimized through spatial transformation. So that some scattered land can be gathered through spatial transformation, thereby increasing the aggregation of cultivated land.

مکان یابی اراضی مستعد توسعه درونزا در بافت فرسوده با بهره گیری از مدل تحلیلی F’ANP؛ (نمونه موردی: محله شهید آوینی مشهد)

Tissues that have been formed in the past and throughout a long process have been gradually weakened with the growth urbanization and urban development. On the other hand, the impacts of the immense growth of urban populations have led to a dispersed growth and the emergence of the marginalization phenomenon, having resulted in its own distinct problems. Yet, it is well-agree that the urban areas are the best option for urban development due to their existing infrastructure and urban amenities. Accordingly, the present paper seeks to locate these lands in the trapped texture of the Avini neighborhood by compiling the criteria and indices from theoretical texts and practical experiences to identify the lands susceptible to endogenous development. In this regard, in order to reach a conceptual understanding and expert knowledge concerning the features of the lands susceptible to endogenous development, a questionnaire based on the theoretical framework was developed and completed by the urban planning experts On the one hand, the research method in this paper is, an F'ANP analytical method which is a combination of the functional analytical methods and the ANP; on the other hand, it is a secondary analysis of the location of the land susceptible to the development of an endogenous GIS. The findings of this study acknowledged that among all the factors affecting the identification of the lands susceptible to endogenous development in the Shahid Avini neighborhood, the performance criteria, and the accessibility and the related indicators attained the highest priority and prominence in locating these lands. Furthermore, a number of the parts related to the brownfields and the workshop located in the north and northeast areas of the neighborhood had a higher priority compared to the other parts to carry out the process of endogenous development with a weight between six and nine.

Geographic Information Technologies in Epidemiology – An Up-to-Date Research Direction of Academician I.N. Blokhina Nizhny Novgorod Scientific Research Institute of Epidemiology and Microbiology

Introduction: Studying the possibility of using geoinformation technologies to analyze the epidemiological situation in the Volga Federal District (VFD) dates back to early 2000s. The experience of creating and maintaining the electronic epidemiological atlas of the Volga Federal District confirmed the relevance of this research direction for ensuring sanitary and epidemiological wellbeing of the population and showed the importance of its results for activities of healthcare and Rospotrebnadzor institutions. The purpose of our work was to consider the main stages of formation and development of geoinformation technologies in epidemiological surveillance of infectious diseases as a research direction of Academician I.N. Blokhina Nizhny Novgorod Scientific Research Institute of Epidemiology and Microbiology. Materials: The article describes the development of medical geography and gives characteristics of classical scientific schools and some of their results. It presents main results of research work carried out within the framework of the Rospotrebnadzor Sectoral Research Program for 2016–2020 as well as methodology and main stages of development of the geographically distributed geoinformation software complex “Electronic Epidemiological Atlas of the Russian Federation” (GIS “Epidemiological Atlas of Russia”) and its structure. Conclusions: Geographic information systems in epidemiological surveillance as an up-to-date scientific direction of research activities of the Institute enabled implementation of the geoinformation project “Epidemiological Atlas of the Volga Federal District”, the development of which began in 2000–2005 by specialists of the Institute and JSC Upper Volga Air Geodetic Enterprise, and development of GIS “Epidemiological Atlas of Russia”.

Web Gis and Remote Sensing Solutions for Monitoring and Thematic Mapping in the Mekong Delta Region

GIS and Remote Sensing technology had been widely applied in Viet Nam. However, research orientation and development of Web GIS and Remote Sensing solutions for regional management approach also indicates many difficulties and challenges. This paper aims to introduce Web GIS and Remote sensing solutions that can be used in monitoring salinity intrusion and land cover mapping to support the implementation of sustainable development strategy of the Mekong Delta region. The experimental results show the online mapping applications based on Landsat images open a new way that can be effectively applied in monitoring salinity intrusion in river network, updating the status of land cover changes and analysing the trend of forest-cover changes in this region. Results of this study also illustrate the suitable technology available to support regional organizations to create thematic maps in monitoring and managing the natural resources and environment of provinces/cities that can achieve high accuracy and save time.

Kesiapan infrastruktur data spasial sebagai upaya mitigasi banjir lahar di kali putih Kabupaten Magelang Jawa Tengah

Availability of Spatial Data Infrastructure (SDI) has an important role in disaster management. The purpose of this research is to analyze the readiness of the Spatial Data Infrastructure (IDS) as an effort to mitigate the lava flood in Kali Putih, Magelang Regency, Central Java. The research method was carried out by interview, survey and secondary data collection and SWOT analysis. The results of the SWOT analysis, on the Strength-Opportunity matrix, conclude that the optimization of Spatial Data Infrastructure (IDS) and the Indonesian National Standard (SNI) in the field of Geospatial Information (IG). The Strenght-Threath analysis concludes the need to use quality spatial data for government agencies. Opportunity - Weakness analysis concludes that there is a need for Web GIS development and the need to improve the quality of GI and the quality of human resources in the field of GI. Threat-Weakness analysis resulted in a conclusion, namely the need to refer to the one map and one data policy as well as the ID and SDI field policies.

Risk Assessment of Resources Exposed to Rainfall Induced Landslide with the Development of GIS and RS Based Ensemble Metaheuristic Machine Learning Algorithms

Disastrous natural hazards, such as landslides, floods, and forest fires cause a serious threat to natural resources, assets and human lives. Consequently, landslide risk assessment has become requisite for managing the resources in future. This study was designed to develop four ensemble metaheuristic machine learning algorithms, such as grey wolf optimized based artificial neural network (GW-ANN), grey wolf optimized based random forest (GW-RF), particle swarm optimization optimized based ANN (PSO-ANN), and PSO optimized based RF for modeling rainfall-induced landslide susceptibility (LS) in Aqabat Al-Sulbat, Asir region, Saudi Arabia, which observes landslide frequently. To obtain very high precision and robust prediction from machine learning algorithms, the grey wolf and PSO optimization algorithms were integrated to develop new ensemble machine learning techniques. Subsequently, LS maps produced by training dataset were validated using the receiver operating characteristics (ROC) curve based on the testing dataset. Based on the area under curve (AUC) value of ROC curve, the best method for LS modeling was selected. We developed ROC curve-based sensitivity analysis to investigate the influence of the parameters for LS modeling. The Gumble extreme value distribution was employed to estimate the rainfall at 2, 5, 10, 20, 50, and 100 year return periods. Then, the landslide hazard maps were prepared at different return periods by integrating the best LS model and estimated rainfall at different return periods. The theory of danger pixels was employed to prepare a final risk assessment of the resources, which have been exposed to the landslide. The results showed that 27–42 and 6–15 km2 were predicted as the very high and high LS zones using four ensemble metaheuristic machine learning algorithms. Based on the area under curve (AUC) of ROC, GR-ANN (AUC-0.905) appeared as the best model for LS modeling. The areas under high and very high landslide hazard were gradually increased over the progression of time (26 km2 at the 2 year return period and 40 km2 at the 100 year return period for the high landslide hazard zone, and 6 km2 at the 2 year return period and 20 km2 at the 100 year return period for the very high landslide hazard zone). Similarly, the areas of danger pixel also increased gradually from the 2 to 100 year return periods (37 km2 to 62 km2). Various natural resources, such as scrubland, built up, and sparse vegetation, were identified under risk zone due to landslide hazards. In addition, these resources would be exposed extensively to landslides over the advancement of return periods. Therefore, the outcome of the present study will help planners and scientists to propose high precision management plans for protecting natural resources, which have been exposed to landslides.

Геоинформационные исследования и картографирование растительности (дайджест по материалам конференции Интеркарто. Интергис. 1994–2020)

Proceedings of the International conference (ИнтерКарто. ИнтерГИС, Russia) devoted to geographical information systems for sustainable development of territories have been published annually since 1994. The articles discuss theoretical and methodological aspects of geoinformation support for environmental, economic and social aspects of sustainable de­velop­ment, issues of geoinformatics, cartography, remote sensing of the Earth, problems of environmental sustainability and environmental impact assessment. Over a quarter of a century, the conference proceedings got more than 125 articles related to the use of geoinformation technologies to the study and mapping of vegetation. The review of proceedings gives the concrete examples how to solve problems of vegetation mapping using GIS, it is focused on publications providing some examples of GIS appli­cation to the vegetation studies. The review is organized into thematic sections according the field of application of Geoinformatics: 1.Vegetation, 2. Dynamics, state and ecological functions of vegetation, 3. Biodiversity and its assessment, 4. Plant resources, 5. Monitoring of vegetation. The Vegetation section contains publications on vegetation studies and mapping performed for some regions of Russia — the North of the Far East, the Republic of Sakha (Yaku­tia), the Tyva Republic, Central Siberia, and others. More than half of the articles are devoted to vegetation dynamics, state and ecological functions of vegetation at different hierarchical levels. Some papers present the results of the studies based on new types of information sources (photographs) and visualization methods (animation). The use of geoinformation technologies to study biological diversity was included in the agenda of five conference sessions and later reflected in more than ten publications. They cover the development and creation of GIS, the use of geoinformation technologies for the analysis, assessment and mapping of biodiversity, for its monitoring and conservation. Quite a large number of articles are devoted to the study of forest resources. GIS technologies were used to solve problems of forest management, cartometric analysis of forested areas, determination of taxation indicators, systematization of forest conditions, etc. Examples of geoinformation versatile research for medicinal plant resources are given to assess their quality, resources and productivity in the region, to identify growing areas, including ones to be protected. Most of the published materials concerning to vegetation monitoring mainly relate to forests and forest management.

UTILIZATION EOS PLATFORM AS CLOUD-BASED GIS TO ANALYZE VEGETATION GREENNESS IN CIREBON REGENCY, INDONESIA

Cloud-Based GIS development has been increasing rapidly since the need for big computing for online spatial data. Besides Google Earth Engine, there is actually another Cloud-Based GIS with similar features namely EOS Platform. This study aims to determine the EOS Platform utilization as a Cloud-Based GIS to Analyze Vegetation Greenness in Cirebon Regency, Indonesia. The selection of research location based on the various phenomenon of development in the Cirebon Regency. Vegetation greenness analysis using the NDVI algorithm which available on EOS Processing and Landsat series images are obtained from Land Viewer. Changes in vegetation greenness were analyzed descriptively from NDVI values in two periods at each pixel in the same location. The results of the analysis with the EOS Platform show a decreasing vegetation greenness in the western and peri-urban areas caused by LULC changes. From this analysis, it is proven that EOS Platform can be used for effective and efficient satellite image processing. Even so, some EOS Platform products with BETA version status still show some obstacles related to integration between products.

A Multi-User Mobile GIS Solution for Documenting Large Surface Scatters: An Example from the Doring River, South Africa

ABSTRACT This article discusses the development and implementation of a mobile GIS catch-and-release system for documenting large surface artifact scatters along the Doring River in South Africa. An integrated, cloud-based mobile GIS solution was built using a suite of ESRI ArcGIS applications with an aim to maximize the speed and breadth of techno-typological data capture, while minimizing data collection errors and post-processing requirements. The system was successfully implemented during the 2019 field season of the Doring River Archaeological Project. With the ability for project-specific customization and interchangeable hardware components, the system transcends geographic region and temporal focus. Moreover, the system accommodates connectivity limitations commonly faced by archaeologists seeking distributed database solutions. Other challenges embraced in the design include rotating personnel throughout a field season, scalability without large financial investment, and the ability to accommodate data collection needs of other components of the larger multi-disciplinary research project.

Study on the Mapping of Rainfall Contour in Pu’er, Yunnan

This paper briefly introduces the development of GIS and its application in hydrologic analysis. The paper interpolates the predicted rainfall of pu’er city in 2017 and draws the rainfall contour line by using kriging method, inverse distance weight method, obstacle spline function and geostatistics kriging method in the deterministic interpolation method. The results show that the interpolation results are of high accuracy and the interpolation errors are ranked from small to large as inverse distance weight interpolation < including obstacles interpolation < kriging interpolation. The inverse distance interpolation method can be used to draw the rainfall contour map of pu’er city.

Historical Development of Maps and GIS

Historical Development of Maps and GIS

OPEN-SOURCE WEB GIS FRAMEWORK IN MONITORING URBAN LAND USE PLANNING: PARTICIPATORY SOLUTIONS FOR DEVELOPING COUNTRIES

This paper presents a Web GIS application development framework through an open-source software which aims to provide reliable open data services, required for policymaking in urban land use planning. The geodatabase model is comprehensively developed. It displayed a user interface using QGIS, MapServer, and Pmapper, with open source tools with PHP MapScript programming languages and integrated DB-SQL, to generate a complete digital map service with information on urban land use policy. The results of this Web GIS development can be publicly used with spatial databases suitable for public consumption, and as decision support systems for stakeholders, especially in the policy of urban land use planning. Thus, this application can serve as a model for land-use monitoring systems based upon the principle of information disclosure toward smart city and smart governance.

Development of gis and database program on website for concerned government office for environmental management under pes and biocarbon concepts

This study aims to develop GIS and database program for ecosystem services management, environmental management and policy planning for natural conservation in the representative areas under the Integrated Community-based Forest and Catchment Management through an Ecosystem Services Approach project (CBFCM) by using Payment for Ecosystem Services (PES) and Biological storage of carbon (BioCarbon) concepts. At first, the concerned data were collected by brainstorming of the needs of GIS and database program with staffs from 4 pilot areas in Thailand: Mae Sa watershed area in Chiang Mai, Lam Sae Bai River Basin in Ubon Ratchathani, Tha Chin watershed area in Samut Sakhon and Phangan River Basin in Surat Thani. Then, the situations and variables which affect to natural resources were analysed. Secondly, GIS and database program were designed and developed. However, the program can be divided into 3 sub-programs for different proposes which are; (1) to enhance coordinated and follow-up performance of change of PES and Bio-carbon concept, (2) to increase communication and training for delegate areas to understand about PES and BioCarbon concept and (3) to collect and manage data and information for representative areas.

Геомоделирование почвенного покрова на основе обобщённого пространственного анализа территории заповедника «Басеги» (Средний Урал)

In modern conditions, there is an objective need for the development of GIS in the work of nature reserves and national parks of Russia to improve the quality of solving scientific and environmental problems. The purpose of the study was to use geo-modeling of the soil cover for the territory of the “Basegi” Reserve (the Basegi Range, Middle Urals) using the method of generalized spatial analysis. For research, topographic maps, satellite images with high spatial resolution of up to 5 meters were used; GIS software; soil section data. In the course of work, large arrays of spatially distributed data were processed, which necessitated the structuring of information and the creation of databases. Based on the digital elevation model, the boundaries of geosystems of catchment areas and high-altitude plant formations are determined. For each plant group, the most favorable height range for their development is distinguished. Within the catchment areas of the rivers, the elements of their structural organization are distinguished: river channels, inner valley, sloping surfaces of the catchment, drainage funnels, fands, arcs. It has been established that basin formation is more active on the western slopes of the ridge, which leads to a “deformation” of the structure of the existing altitudinal zonation of the soil and vegetation cover. Electronic thematic maps on the main soil formation factors have been created for the territory of the “Basegi” Reserve. Based on a generalized spatial analysis, indicative relationships are established between vegetation, elevation, exposure and slope steepness, structural elements of the river catchment, and soils. Soil contours for the entire territory were digitized using satellite images, an automated method of decoding remote sensing data, taking into account all factors of soil formation. Geo-modeling of the soil cover on the basis of a generalized spatial analysis of the territory of the “Basegi” Reserve has allowed us to create a model of the structural organization of soils in space. The combined use of the basin method and geographic information technologies give high accuracy (80-90 %) when used for difficult natural conditions.

Web-GIS mapping for watershed and land cover area in Bengkulu

Naturally, watershed has a function to accomodate and store water from rainfall to the lake or to the sea. It is affected by land activities and shaped as a boundary of topographic land and as a separator from the sea. Managing the area is one of essential steps for further environment assessement, i.e. decreasing water quality and vulnerability to landslides or floods. However, the ability of web-GIS technology to help the management of watershed area in Bengkulu is still unknown. Here, we showed how the process of Web GIS development for managing the watershade in Bengkulu could be achived. This study mapped the 2018 land cover area of Rindu Hati Sub-watershed by utilizing Landsat 8 satellite images using the Maximum Likelihood method. The land cover map was then processed and displayed using webGIS media. The results showed that the system accuracy for ground truth land use model result was 77.4% which could be accepted as a good result. Further assessment of pixel validation could be one of the future research. We anticipated that the results could be a starting point for more sophisticated area cover of Sumatra and Indonesia. Furthermore, this could be a major development on knowledge discovery in environment and ecology.

Context integration GIS of education relevant in secondary school TVET

An initiative approach that focuses on software for the integration of GIS technology in the secondary school curriculum is the same, regardless of whether one teaches technical secondary school science, social secondary school, or basic art. While demonstration of sample resources and project approaches, technology-based education reforms, structured / standardized professional development workshops or courses, and teacher education programs that focus on technology are different because students need to learn GIS technology using learning materials tailored to their needs and situations. unique. The 'Learn about GIS' approach for TVET secondary school students is an effective way to operate software, with supporting instructions in cartography, database design, and programming. Learning to think of the world through the mediation perspective provided by technology can influence geospatial thinking and its development. The researcher notes that individual teacher support, local data usage, local problem scenarios, and administrative commitment, are critical issues for the development of professional GIS in TVET Middle School. Reforming the science and technology curriculum involving the acceptance of GIS in learning requires continuous professional development, related to the implementation of the GIS curriculum. Therefore, it is important to investigate the skills needed to improve the workability of TVET secondary schools in the Geomatics and Geospatial Engineering department.