Web-based GIS Research Articles

Implementasi Sistem Informasi Geografis pada Pemetaan Lahan Aset Desa Palembon menggunakan Google Maps API

Village assets are assets owned by the village. It is necessary to collect, record, and report the data. The village assets consist of several types, one of which is buildings and land. To collect data on building and land assets, a mapping is needed to describe the condition of the distribution area of these assets. Therefore, a web-based Geographic Information System (GIS) design, using the Laravel Framework utilizing the Google Maps Javascript API as a digital map provider and MySQL as a database. This system is used to fix the problems with data collection, recording, and reporting the asset data.

Utilization of Spatial Data on Agricultural Activities Case Study of Tebas District

The dominant potential of agricultural activities is not in line with the dissemination of adequate information on agricultural activities, thus causing agricultural activities in Tebas District to be unknown to the wider community. Information about agricultural activities will be more easily accessed by the community in Tebas District with the existence of a web-based geographic information system where people can get non-spatial information and also spatial information from agricultural activities in Tebas District. The purpose of the study is to determine the use of GIS web applications in monitoring agricultural activities. The research location focused on the Tebas Komplek agricultural area which is designated as a sustainable food agriculture area in Sambas regency which includes Tebas Sungai Village, Pangkalan Kongsi Village, Dungun Perapakan Village, Serumpun Buluh Village and Mekar Sekuntum Village. The research method used in this study used remote sensing and waterfall methods. The remote sensing method is used to build spatial data by using remote sensing imagery, while the waterfall method is used to build a home GIS web for spatial data to be placed. The technique of collecting data on attributes of agricultural activities is carried out by filling out questionnaires, while spatial data collection is carried out by interpreting satellite images and testing the accuracy and tracking of land in the field. The results of the study stated that: 1) A Web Gis application design has been composed which contains the home page, poktan data page, poktan detail page, whole rice field data page, member detail page, login page, poktan data input page, and rice field data input page; 2) The agricultural land system in Serumpun Buluh Village has its own uniqueness compared to Mekar Sekuntum village, Tebas Sungai, Dungun Perapaakan and Pangkalan Kongsi in Tebas Agricultural Area Complex, which uses an overlay system. Serumpun Buluh Village uses a domicile system, which is based on the domicile of farmers and some are based on the location of land owned by farmers; 3) There are differences in the variation in the area of poktan spatial data in each gappoktan located in the Tebas Complex Agricultural Area. The conclusion of the use of the gis web application will make it easier for extension workers and gapoctans to monitor agricultural activities in the Tebas Komplek agricultural area.

MEASURING THE SPATIAL SIMILARITIES IN VOLUNTEERED GEOGRAPHIC INFORMATION

Abstract. Volunteered citizens have the potential to be used as social and distributed sensors, monitoring their surroundings and producing and sharing massive amounts of geographic data. The degree of spatial similarities in Volunteered Geographic Information (VGI) somehow indicates an index for the accuracy and precision of user-generated spatial data. In other words, the spatial similarities in VGI refer to how close a citizen-generated spatial feature is to the true (or accepted one) or how close the citizen-generated spatial features of the same geographic phenomenon are to each other. The present study aims at developing a Web-based GIS tool to collect VGI and extract the spatial similarity indexes. To this end, a case study involving the identification of optimal areas for restaurants in Babolsar, Mazandaran province was used. The degree of similarity between the areas (polygons) proposed by citizens was then investigated using spatial indicators of intersection and minimum central distance. The results show that with the increase in the frequency of citizen-generated polygons, the geometric dispersion of the polygons decreases, and the similarity of citizens’ polygons to establish a restaurant increases. With the increasing agreement, the amount of standard deviation in the area, perimeter, and minimum central distance of intersection areas reduces from 4645 to 15.4, 134.5 to 21.6, and 42.4 to 4.2, respectively.

A Spatial Decision Support System for Prioritizing Repair Interventions on Power Networks

The business continuity of services provided by Critical Infrastructures is vital in order to ensure the security, the economy and the public’s health of a Nation. Delays and bad recovery strategies after disasters or failures can lead to impairing impacts in terms of injury to people, environmental pollution and loss of time, money and resources. In such a context, the adoption of a spatial Decision Support System (DSS) might play a crucial role in order to help operators to adopt the best recovery strategy in the shortest possible time frame. Current approaches do not consider the problem of assigning an intervention location to a maintenance crew and do not account for the effective time needed for emergency intervention. In this paper we develop a novel spatial multi-criteria DSS methodology for prioritizing repair interventions on power networks. The multi criteria strategy is solved by the adoption of Incomplete Analytic Hierarchy Process (AHP) which computes holistic assignment costs as the result of the combination of multiple and possibly conflicting metrics of cost.Then, we use the holistic costs as the basis for a task assignment phase that is based on the Hungarian algorithm. The proposed strategy has been implemented as a module in the Decision Support System, namely Critical Infrastructure Protection Risk Analysis and Forecast (CIPCast), whose outputs are represented on a web-based Geographic Information System (GIS) platform. The effectiveness of the proposed multi-criteria strategy has been validated via a real case study on the Rome City electrical distribution network.

Use of web-based GIS applications in geography teaching-the implications from Türkiye

Geography, as a discipline which examines the earth, aims to increase analytical thinking skills by instilling spatial thinking (ST) skills in students. The youth who enrich a sense of space with these talents will effectively solve the spatial problems they encountered. In the modern world, where spatial issues are frequently being faced with, ST is extremely important for analyzing and interpreting data. Geographical information systems (GIS) appear as a method commonly used to process data and transform it into spatial information. In this context, despite the renewal of the secondary education (SE) geography curriculum in T?rkiye, with the components required for the use of GIS at the SE level, prevented the use of GIS in SE from reaching the desired level. Developments in technologies have also caused significant changes in the field of GIS with the power of cloud technologies and, the work done in the personal computer environment has been moved to the internet environment. Web GIS applications, which can be used via a web browser, are much easier to use than desktop software and can reach many users from any device with the internet. Within the scope of the study, a sample application was designed to use web GIS tools in geography teaching. With the application, it is possible to assess the students? achievements in the geography lessons regarding verbal and spatial data. Thus, it was aimed to ensure the active participation of the students in the geography lessons, develop their ST ability, and perception of space.

Web-based GIS for simulation, and visualisation: EPANET and data-rich shapefiles

The management of water resources often involves with spatially and temporally varied information collected from various providers with different data formats. Although certain software or applications such as QGIS[1] and EPANET[2] have been developed to support the analyses and decision making, these solutions do have some critical weaknesses: 1) it can take users considerable time to become proficient in using a given application, 2) applications generally assume a level of domain-specific knowledge, 3) applications may require customisation through plug-ins to provide suitable information and 4) applications are often tied to specific hardware / operating system configurations. To address these issues, the aqua3s and Fiware4Water research programmes were developed as ‘cloud first’ projects, using the cloud/web to deliver functionality. In this work, we developed approaches for integrating and visualising information to support water management, specifically developing a web-based EPANET simulation and visualisation for large water networks (c30,000 EPANET nodes and links), and a web-based visualisation of regional flood data shapefiles for Trieste and surrounding regions. In both cases, data was processed and balanced between client and server to minimise client loading and maximise responsiveness.

Development and Implementation of a Web-based GIS for Registering and Monitoring the Livestock and Poultry Genetic Resources

Development and Implementation of a Web-based GIS for Registering and Monitoring the Livestock and Poultry Genetic Resources

APLIKASI SIG BERBASISA WEB PEMETAAN LOKASI TOKO OLEH-OLEH DI KOTA BATAM

The development of technology today is very undoubted so that information is easy to access anytime and anywhere. The ease of accessing information gives new enthusiasm for humans in developing information technology or commonly referred to as Geographic Information System (GIS). The definition of GIS itself is a special information system that manages data that has special information, or it can also be interpreted as information about the place or location where the geographical location is located. Batam city is one of the cities in the Riau archipelego province. Batam is famous as a location visited by foreign and domestic tourists. Tourists that visit Batam city have a habit of bringing food as souvenirs from Batam. However, tourists and local people sometimes have difficulty in finding the location of stores that sell food souvenirs. This study aims to develop a Geographic Information System application that maps the location of gift shops in Batam. The result of this study is web-based GIS applications, which uses Google Maps API to display maps and retrieve store location coordinates. Through the application, the tourist can be helped in finding the location of souvenir shops in the city of Batam.

Web-Based Geographic Information System for Landslide Prone Areas in Bengkulu Province

Bengkulu Province is one of the areas prone to disasters.Based on the data from Regional Disaster Management Agency (BPBD) in year 2020,eight of ten regencies in Bengkulu province are included in the high risk class for landslides, and two others are in the medium class.The lack of information received by the community about the location of the landslide disaster resulted in a high level losses suffered by them, both human and material casualties.Therefore, a web-based geographic infomartion system application was made.The existence of GIS combined with web design and web mapping is expected to be a means to facilitate the delivery of relevant and approprite information for all parties that need it.The results of the study indicate that the application can run well and display maps and information on the number of landslides per year in all regencies of Bengkulu Province.

Web-Based Geographic Information System of Livable House in Kandolo Village

A livable house is abbreviated as the feasibility of a residential house which can be measured from 2 aspects, namely the physical quality of the house and the quality of house facilities. The physical quality of the residential house is measured by 3 variables, namely the type of roof, the type of wall, and the type of floor, while the quality of the housing facilities is measured by 2 variables, namely the source of lighting and the availability of toilet facilities. In this study, the authors use the prototype method using data analysis and system design. This web-based geographic information system for livable houses in Kandolo Village aims to assist in the data collection process for livable houses in Kandolo Village. The results of this study 257 house data have been entered, of which 247 houses are suitable for livable on, 6 houses that are less suitable for livable on, and 4 houses that are not suitable for livable on. For visitors, this system functions to select houses that are livable by looking at several registered pins, then the system will take the resident data detail page. Then in the detail section of citizen data, there will be some resident data, photos of houses, and routes to their destination. From the application trial results, the author conducted a black box test with 11 test class items and respondent tests for direct users at the Kandolo Village Office where the features are used to well and are accepted among the community.

Web-based geographic information system for sago plant production land in Merauke District

Sago is also a symbol of indigenous peoples, sago has become one of the important staples. The land tension of sago plant production in Merauke regency is supported by natural conditions and the climate is good for the development of sago plants. in the current condition, the community still feels difficult in the search for sago land because there is no publication media for the location of sago crop production land developed by the Merauke Horticultural Agriculture Office, by building this system will help the community in finding sago land, The system is a geographical information system of sago plant production land in Merauke district based on the web that uses the PHP and Xampp programming languages as a localhost server over the Apache HTTP server program, MySQL database and PHP programming language translator. System testing performed on this system uses the Black Box method and Beta testing. The results of testing using Black Box found that the geographical information system of sago crop production land in Merauke regency based on the web can accelerate the process of searching for sago land developed by the Department of Agriculture and Horticultural. Keywords: geographical information system, sago plant production.

Developing an Automated Analytical Process for Disaster Response and Recovery in Communities Prone to Isolation.

Today, unpredictable damage can result from extreme weather such as heat waves and floods. This damage makes communities that cannot respond quickly to disasters more vulnerable than cities. Thus, people living in such communities can easily become isolated, which can cause unavoidable loss of life or property. In the meantime, many disaster management studies have been conducted, but studies on effective disaster response for areas surrounded by mountains or with weak transportation infrastructure are very rare. To fill the gap, this research aimed at developing an automated analysis tool that can be directly used for disaster response and recovery by identifying in real time the communities at risk of isolation using a web-based geographic information system (GIS) application. We first developed an algorithm to automatically detect communities at risk of isolation due to disaster. Next, we developed an analytics module to identify buildings and populations within the communities and efficiently place at-risk residents in shelters. In sum, the analysis tool developed in this study can be used to support disaster response decisions regarding, for example, rescue activities and supply of materials by accurately detecting isolated areas when a disaster occurs in a mountainous area where communication and transportation infrastructure is lacking.

Sistem Informasi Pendugaan Kekerasan Terhadap Perempuan dan Anak Menggunakan Metode Small Area Estimation

Based on data obtained from the SIMFONI-PPA Application, the Office of Women's Empowerment, Child Protection, Population Control and Family Planning (DP3AP2KB) Sambas Regency, in 2017 there were 95 cases of violence against women and children in Sambas Regency, then in 2018 there were 43 cases, followed by in 2019 as many as 49 cases, and in 2020 as many as 64 cases. This shows an increasing trend in the number of cases of violence that occur from year to year. The increasing trend is caused by the lack of access to information to make complaints, the processing of data on areas of violence that has not been integrated, so that the government does not have up-to-date data to anticipate. To support DP3AP2KB in handling and preventing violence, this research builds a system based on the estimation of violence against women and children by utilizing the Small Area Estimation Method, especially the IDW interpolation technique. This research was carried out by processing data through the ArcGIS application to determine the pattern of areas prone to violence, using interpolation techniques to predict unmeasured variables at various locations, with IDW assuming that the closer a point is to an unknown point, the greater the effect. . IDW uses the values measured at points around the location, to estimate the value of the variable at the location in question. Then the results of data processing is implemented in a web-based geographic information system. The system that has been built has been tested using the black box method and calculated using a Likert scale, obtaining a value of 86.20% which is included in the Very Good category.

Integration and Geographic Visualization of TKA-TPA Data Using Mapbox

TKA-TPA data management is performed conventionally and inaccurately. Accordingly, it may result in considerable data loss. Data collection for TKA-TPA by BADKO Kasihan Bantul Yogyakarta is still carried out conventionally. Therefore, this study supports BADKO TKA-TPA in data management, data reporting, data mapping, and data publication. A Web Geographic Information System (GIS) was created using the CodeIgniter framework with the Hypertext Preprocessor (PHP) programming language, MapBox on the Maps API Service, MySQL database, and the SDLC with the prototype method. The study result is a web-based GIS application. This GIS application has been successfully built and can be used by BADKO TKA-TPA Kasihan Bantul Yogyakarta for its data management and mapping system.

ReFuse: Generating Imperviousness Maps from Multi-Spectral Sentinel-2 Satellite Imagery

Continual mapping and monitoring of impervious surfaces are crucial activities to support sustainable urban management strategies and to plan effective actions for environmental changes. In this context, impervious surface coverage is increasingly becoming an essential indicator for assessing urbanization and environmental quality, with several works relying on satellite imagery to determine it. However, although satellite imagery is typically available with a frequency of 3–10 days worldwide, imperviousness maps are released at most annually as they require a huge human effort to be produced and validated. Attempts have been made to extract imperviousness maps from satellite images using machine learning, but (i) the scarcity of reliable and detailed ground truth (ii) together with the need to manage different spectral bands (iii) while making the resulting system easily accessible to the end users is limiting their diffusion. To tackle these problems, in this work we introduce a deep-learning-based approach to extract imperviousness maps from multi-spectral Sentinel-2 images leveraging a very detailed imperviousness map realised by the Italian department for environment protection as ground truth. We also propose a scalable and portable inference pipeline designed to easily scale the approach, integrating it into a web-based Geographic Information System (GIS) application. As a result, even non-expert GIS users can quickly and easily calculate impervious surfaces for any place on Earth (accuracy >95%), with a frequency limited only by the availability of new satellite images.

Sistem Informasi Geografis (SIG) Titik CCTV Di Kota Jambi Berbasis Web

Requests for information regarding Closed Circuit Television (CCTV) in public areas by the people of Jambi City through the complaint channel, are increasingly being received by the Jambi City Communications and Information Office. The installation of Closed Circuit Television (CCTV) in public areas in Jambi City is one of the service innovations for the community in order to strengthen law enforcement, public order and public convenience and at the same time realize the Jambi City Government's Smart City program. CCTV installations in Jambi City have been carried out in various areas of Jambi City such as in various parking areas in government offices, at crossroads, and red lights. Even private business actors also support the installation of CCTV in their respective business areas. Advances in GIS technology can be applied to mapping the distribution of CCTV points in the city of Jambi to help collect information on the distribution of CCTV points in various public areas of Jambi City electronically so that they can improve excellent service for the community in the field of security and public comfort both for business actors and for visitors who came to the city of Jambi. So the final result of this research is the proposed design of a Web-Based Geographic Information System (GIS) application for CCTV Point in Jambi City. The system development method used is Prototype using Use Case Diagram modeling tools, Activity Diagrams, and Class Diagrams. This research is expected to provide complete information about the distribution of CCTV points in the Jambi City area, and become the initial foundation for integrating all CCTV management in Jambi City.

Adopting and using geospatial technologies for teaching geography in Latin American higher education

ABSTRACT The article presents the results of a regional study analysing the factors that predict Latin American faculty adoption and use of geospatial technologies (GST) for teaching geography. The research involved an online survey with 337 participants from 17 countries, who answered a set of items adapted from the Unified Theory of Acceptance and Use of Technology on five GST – desktop GIS, web-based GIS, remote sensing, GPS, and digital globes. The data was analysed using a structural equation modelling. The results confirmed that faculty who identified pedagogical benefits of using GST considered technologies as easy to master, and valued the opinion of people influential to them about using technologies were more likely to be motivated to use GST for teaching. In addition, faculty willing to use the GST and report adequate institutional conditions were more likely to be using the technologies for teaching. Additional statistical testing found that human geography faculty expressed an infrequent use of these technologies compared to their physical geography and geospatial technologies colleagues, who did report a more consistent use of GST. These findings suggest a divide among Latin American faculty regarding the motivation and institutional conditions to implement technologies, based on their field of expertise.

GIS TOURISM WEB BASED OF KAMPUNG SEBERANG RAMAI, PERLIS

Tourism is an industry with significant economic impact as it contributes to the development of other economic sectors through a multiplier effect. The location of Kampung Seberang Ramai, which is relatively unknown to the public, makes it difficult to discover this area with paper maps. In addition, this area has a good potential to become a tourist attraction in Perlis. Currently, the area is being upgraded by MAIP under the Diraja Program Transformasi Kampung Seberang Ramai project to make it more attractive. The technology of GIS has many potential applications in tourism management and planning. Some of the most important aspects of GIS that could support tourism planning are managing spatial data and providing important value-added information. The objective of this study is to develop a web-based system for Kampung Seberang Ramai, Perlis. This web-based system will allow public users to access and visualize all information about Kampung Seberang Ramai, Perlis. Web-based design and development using SDLC method with waterfall model, digitization process, attribute table creation and software for this research. The software used is ArcGIS, Google Earth Pro, ArcGIS Online, and Wix Web Editor. The method of this study was used to collect the tourism information and present the tourism web-based content for tourists and analyze the user satisfaction in developing web-based content in four phases: Planning, data collection, web-based design and development, and testing phases. The result of this study is the creation of a web-based GIS of Kampung Seberang Ramai that provides history information and supports tourism development in Perlis Land. The benefits of this study will encourage Kampung Seberang Ramai to become an attractive place in the tourism sector and provide benefits to local villages in the form of profit in the socio-economic sector. Kampung Seberang Ramai should become an attractive place in the tourism sector and provide benefits to the local villages in the form of profit in the socio-economic sector.

A GIS-based approach for estimating community transportation exposure and capacity in the context of disaster resilience

Transportation is a critical sector for communities. It is, however, particularly vulnerable to climate change, and a disruption in its infrastructure impacts the whole community. Enhancing the resilience of transportation infrastructure is vital for reliable and sustainable functionalities, and subsequently, to more resilient communities. There are indices and frameworks that assess and evaluate transportation resilience and performance, ranging from component-based, to network and system metrics. The existing approaches, however, usually overlook location and capacity of critical transportation components. These two characteristics possess significant effects on the resilience and performance of the transportation sector. Moreover, the stress type and its magnitude should be incorporated in the resilience assessment. In this work, we leverage a recent resilience quantification framework to compute the Exposure and Capacity-based Transportation Resilience Index (EC-TRI), describing the resilience of the transportation infrastructure, focusing on the location and capacity of certain assets. We argue for the adoption of this index as a complement to existing frameworks, and we develop a web-based GIS framework to evaluate EC-TRI for communities within New Jersey (NJ). The novelty of EC-TRI lies in its consideration for the stress level, the exposure and capacity characteristics of transportation assets, as well as in its practicality and scalability. Users can leverage EC-TRI to locate the weak and vulnerable components within the transportation network, and to provide a community-based assessment of the resilience level of the transportation infrastructure. In addition, we provide EC-TRI as a highly scalable GIS framework, providing users with the ability to adjust the quantification components as per local needs and priorities.

NATIONAL LAND COVER MAPPING USING VARIOUS REMOTE SENSING DATASETS IN GEE

National land-cover maps are essential for the development of the countries as land-use patterns have shifted dramatically throughout the world in the previous decades. With the latest development in the remote sensing community, the power and ease of web-mapping and web-based map and GIS services have increased. This work investigates several datasets for land cover categorization on a national scale across North Macedonia (25,713 km2) using Sentinel images within Google Earth Engine (GEE), a cloud computing platform designed to store and process huge data sets for analysis and ultimate decision making. Both single and synergetic use of Sentinel-1 and Sentinel-2 satellite images have been investigated. The basic land-cover components are generated, upon which the more detailed final land-cover/land-use data were derived and defined. Comparing the results of the datasets indicate the influence of the radar data over the optical data in land cover classification. Also, the influence of the investigated data over every class is calculated. The results showed that the various datasets lead to different overall accuracy. Also, the different datasets performed differently over single classes, even though their overall accuracy was the same. As a result, a high accuracy national-level land cover classification has been created. The results have been compared to the latest Corine data. The results can be critical to making informed policy, development, planning, and resource management decisions. This provided the standardized references from which landscape changes could be determined and quantified.