Mobile GIS Research Articles

Web GIS for Sustainable Education: Towards Natural Disaster Education for High School Students

The rapid development of the web geographic information system (Web GIS) has promoted new vitality in high school geography education, relieved the stress of geography teachers caused by software and technical problems, and made it possible for teachers to devote more energy to geography teaching and research activities. Natural disaster education is not only an important part of the geography curriculum, but also an indispensable aspect of education for sustainable development (ESD) for high school students. The application of Web GIS in the dynamic monitoring, forecast, and early warning of natural disasters is becoming more experienced. Therefore, the application of Web GIS in natural disaster education is quite feasible. How to build a bridge between them is the purpose of this paper. Thus, the paper selects ArcGIS Online, which is not limited by time and space, and analyzes several functions that apply it to geography teaching. These include smart mapping, story maps, 3D web maps, and mobile GIS. Meanwhile, it analyzes the knowledge structure of “natural disasters” in Chinese geography textbooks to guide the subsequent case design. Then, the Web GIS inquiry-based teaching case is formed based on “7.20 Zhengzhou Torrential Rain”. It contains knowledge about natural disasters and designs from many aspects, such as the causes, manifestations, and prevention and control of disasters. The discussion identifies a range of specific educational benefits of applying Web GIS to natural disaster education for teachers and schools. Ultimately, it can provide some reference values for geography teachers and other developers to explore curriculum resources and create quality educational models.

Deployment of Location Mapping Results Based on Application Programming Interface

All user mapping data that has been created in the gis web can also be displayed on the user's own web and can also be displayed through mobile gis. By applying for tokens first to the admin for validation so that the mapping data can be displayed through API-based tokens. When the user wants to display in his own web then the user must enter the mapbox token first and if the user does not have a mapbox token then the user is directed to create a mapbox token first. first into the mapbox whose link has been provided, the purpose of inputting mapbox tokens is to display html scripts / code that are just copy paste in hopes of making it easier for users to see the mapping that has been made.in the gis web to his personal web without creating any more scripts and can be run And for mobile we just copy paste the tokens that are already in the gis web then The mapping data can be displayed immediately.oute of the trip.

IGiS FOR MANAGING CITIES SMARTLY – URBAN GEOINFORMATICS

Abstract. A city is a geographic entity and should be efficiently analysed and optimised through the use of geo-spatial technology. The certification for a city to be ‘Smart’ is measured on the basis of the liveable index, adequacy of water supply, assured supply of electricity, proper sanitation and solid waste management, efficient urban mobility, public transport, affordable housing, robust information technology connectivity, transparent and good governance, safety and security of citizens, modernised health and education infrastructure and citizen participation which will lead to sustainable development. Smart Cities require a perfect balancing of modernisation of city infrastructure and leveraging technology. Smart cities require Geo-smart mapping and visualization capabilities with applications for protecting groundwater resources, locating schools and health centres, locating garbage dumps and toilets, designing bus routes. The indigenously developed integrated platform of GIS, Image Processing, Photogrammetry and CAD, called IGiS has been leveraged by Scanpoint Geomatics Limited, Ahmedabad (SGL), India for implementing the Enterprise GIS for 7 smart cities in India. A centralised geo spatial database with a standard data model compliant set of maps/layers has been created for each city. The spatial layers are derived from 30cm resolution satellite data. Point data (locational information) is generated using DGPS surveys. The city assets are geographically mapped at a scale of 1:2000 and organised in a spatial database. Inputs required for operations and maintenance of every utility/facility are geo tagged and stored in the database. Web & Mobile GIS applications & Citizen portal are developed using the indigenous platform. Integration with other e-governance applications and spatial layer requirements of the Integrated Command and Control Centre are supported through RestAPI & OGC compliant web services. SGL’s Mobile GIS framework named Qpad comes handy for spatial data verification. IoT devices are used to gain insights for real-time handling of critical situations or emergencies. Having laid the foundation for driving smart cities in terms of the spatial database at a scale of 1:2000, the stage is set to look forward to the results. Plugging revenue leakages, better traffic management, information at a click during peak of the Corona pandemic, effective usage of open spaces and barren areas, planning the utility requirements by the corporation to accommodate for the urban explosion is the kind of harvest that is anticipated with abated breath. This paper demonstrates the suitability and capability of the indigenously developed common platform for image processing and GIS (IGiS Enterprise Suite) in building Smart City Applications and quantifying the results.

Simulation application of three-dimensional GIS based on full-scenario intelligence in power grid company transmission line planning

Traditional data collection and review methods in power grid planning have always had the problems of time-consuming, poor real-time performance, and cumbersome processes. The application of mobile GIS solves the problems of data collection and review methods and makes more efficient use of mobile GIS terminal collection. The data of the mobile GIS solve the urgent problems that need to be solved since the popularization and application of mobile GIS. This system implements functions such as storage, transmission, and review based on mobile GIS data, which will greatly improve the efficiency of data collection by mobile terminals and reduce the cost of data collection. Realize the planning simulation of the power grid under the intelligent cycle of the whole scene.

Development of a Monitoring and Management System for Nonheritage Tourist Attractions Based on Mobile GIS and Multisensor Technology

With the rapid development of the tourism industry, how to monitor scenic spots and tourists in real time has become an issue. This paper mainly describes the development of a monitoring and management system for scenic spots of intangible cultural heritage based on Mobile GIS and multisensor technology. The monitoring system adopts the idea of structured programming, which reduces the coupling degree of various components and promotes the expansion of system functions. The shortest path module uses the scenic spot management subsystem on the PC. The scenic spot manager enters the distance between adjacent scenic spots that can be directly reached into the system database and then uses the shortest path algorithm, Dijkstra algorithm, to calculate. Asynchronous Socket programming mechanisms are used to implement communication capabilities, the XML markup language is selected as the system’s data exchange protocol, and the DHT11 digital temperature and humidity sensor is used to obtain humidity information around ancient buildings. A Mobile GIS reader of an ancient building in a scenic spot sends a request to connect to a server. The listener is the communication interface between the server software and the reader. It is responsible for parsing the transmitted data and storing it in the database. The CC2430 chip is used to wear on tourists. When tourist nodes and guide nodes enter the scenic spot, they join the network to query the density of the entire scenic spot and upload real-time information. In terminal query, the average response time of real-time location query is 2S. The average initial response time for historical location queries is about 3S. The results show that the visualization services provided by software development can intuitively and accurately display the flow and density of scenic spots, providing a scientific reference for carrying capacity and flow management of scenic spots.

Design and deployment of relational geodatabase on mobile GIS platform for real-time COVID-19 contact tracing in Ghana

This study reviewed the design and deployment of relational geodatabase on mobile GIS application, using collector for ArcGIS and survey 123 for ArcGIS platforms for COVID-19 contact tracing in Ghana during the lockdown. The study assessed whether cases spread by physical neighborhood contacts, defined by a 2km buffer of initial known 60 cases location. The application was deployed on the android tablet, which was used by field workers. Application Post-deployment review shows that from 30th March to 4th April 2020, 828 samples were collected with 34 confirmed cases, of which 61% occurred outside the 2km buffer. From 1-30 April 2020, 8,748 individuals with 16,087 contacts were tested within the physical neighbourhoods, 2.4% turned positive. Similarly, 7,501 individuals with 17,071 contacts were tested outside the physical neighbourhoods with 4.3% positives. Results suggest that more infections occurred outside the case’s physical neighbourhoods possibly due to; (1) existence of unknown cases prior to lockdown; (2) cases were moving outside their physical neighborhood and infecting others; (3) panic movements of cases within the 3 days window between announcement and enforcement of lockdown; (4) movement of cases into the country through unapproved routes. New cases were identified outside the lockdown areas, which could not be explained. This study raises questions about (1) the understanding of the mode of spread of the virus (2) the implementation of the lockdown, including the geographic coverage and timing. It is recommended that future decisions on contact tracing and lockdown should be guided by an understanding of the disease geography.

THE ERBIL PLAIN ARCHAEOLOGICAL SURVEY: PRELIMINARY RESULTS, 2012–2020

The Erbil Plain Archaeological Survey (EPAS) investigates settlement and land use from the Neolithic to the present in the Erbil Governorate of the Kurdistan Region of Iraq, which includes a large portion of the core of the Assyrian Empire. In seven field seasons, it has documented a broad settlement landscape in a region of great social and political importance, especially in the Bronze and Iron Ages, including 728 archaeological sites. Its field methodology combines traditional surface collection with the use of historical aerial and satellite photographs, mobile GIS, and UAV (drone) photogrammetry. Preliminary results show some unexpected patterns: a high density of culturally Uruk settlements in the fourth millennium B.C., variable urban morphologies in the Early Bronze Age; and large but low-density settlements at the end of the Sasanian period or the early Islamic period. The project is explicitly testing several hypotheses about centralized Neo-Assyrian landscape planning in the imperial core. These hypotheses appear to be confirmed, although the situation was more complex than in surrounding provinces, probably due to the longer history of continuous settlement.

Mobile gis app for guiding geopark at unesco global geopark ciletuh palabuhanratu, indonesia

This study aims to produce a mobile GIS application as a spatial data-based information media for the geopark area at UNESCO Global Geopark Ciletuh Palabuhanratu in a more exciting and informative way. The development process is by Analysis, Design, Development, Implementation, Evaluation (ADDIE). This application offers navigation, interpretive information, digital maps, offers guide route selection for users, geopark areas, geographical diversity, biodiversity, cultural diversity, tourist destinations, and tourist itineraries. In testing using a drawn questionnaire, the system conclusions made by users are asked to be interested in the application.

Developing a mobile GIS application related to the collection of land data in soil mapping studies

Soil is the one of the most important natural resources having direct and indirect effects on human life, foremost on food supply. Moreover, two of the most important sources used in many sectors such as agriculture, forestry, environment, planning, related to the conservation of soil, are soil maps and soil reports. There is a need for proper and up-to-date soil maps produced with support of technology to achieve sustainable management of land and soil successfully. In order to facilitate the collection of soil data on site in a correct, fast and reliable way in soil survey and mapping studies, and therefore to produce soil maps with high accuracy, a mobile GIS application called “Soil Data System” was developed in this study to work in mobile devices which are driven by Android 5.0 and above. The developed application was tested in “Abadan Erosion Control Project” implementation area, which is located in the boundaries of Ankara, Turkey and was completed in 2016 within the General Directorate of Forestry of The Republic of Turkey, and various findings were obtained after comparing the application with classical soil survey and mapping studies. As a result of the analyzes, it was observed that Soil Data System contributed positively to soil mapping process in many aspects such as accuracy, transparency and time.

A prediction method of urban water pollution based on improved BP neural network

The existing methods for urban water pollution prediction have some problems, such as large prediction error and inconsistency with the actual pollution situation. A new urban water pollution prediction method is proposed. The water pollution data collection system of mobile GIS is used to collect urban water pollution data, analyse the overall structure of the water pollution data collection system, and classify the obtained urban water pollution data at different levels. The application concept of BP neural network is clarified, and the obtained urban water pollution data is entered into the network to obtain the urban water pollution prediction results. Genetic algorithm is used to improve the weights and thresholds obtained above, and the urban water pollution prediction model is constructed, and the prediction results of urban water pollution are output. Through the effective experimental analysis, it is concluded that the minimum error value is about 0.1%, and the prediction time is consistent with the actual time consumption.

A prediction method of urban water pollution based on improved BP neural network

The existing methods for urban water pollution prediction have some problems, such as large prediction error and inconsistency with the actual pollution situation. A new urban water pollution prediction method is proposed. The water pollution data collection system of mobile GIS is used to collect urban water pollution data, analyse the overall structure of the water pollution data collection system, and classify the obtained urban water pollution data at different levels. The application concept of BP neural network is clarified, and the obtained urban water pollution data is entered into the network to obtain the urban water pollution prediction results. Genetic algorithm is used to improve the weights and thresholds obtained above, and the urban water pollution prediction model is constructed, and the prediction results of urban water pollution are output. Through the effective experimental analysis, it is concluded that the minimum error value is about 0.1%, and the prediction time is consistent with the actual time consumption.

种基于GPS和GIS农业装备田间位置的监控系统

With the development of communication technology and embedded technology, mobile intelligent terminals (mobile GIS) have become the key research direction of monitoring systems. In view of this, the study first constructed the structure frame of the agricultural monitoring system and the system mobile database, and designed the monitoring system terminal, combined with the .Net Compact Framework platform to implement the system functions, and finally the monitoring system based on GPS and GIS. The function of the system was tested. The results show that the system design of this study combines user needs’ analysis, system framework and functional module division. The system design function realizes the function of creating a database, the entry and collection of attribute data and graphic data; and the editing and browsing of map data and management functions; it realizes the processing of data and the output of results, and displays in the form of graphs or reports; it realizes the functional modules of the monitoring system. It is hoped that this research can provide a certain reference and reference for the application of mobile intelligent terminals in our country's agriculture.

Monitoring thermal field, humidity field and energy balance over heterogeneous surfaces in the typical valley-city

Land use and land cover (LULC) alteration has changed original energy balance and heat fluxes between land and atmosphere, and thus affects the structure characteristics of temperature and humidity fields over urban heterogeneous surfaces in different spatio-temporal scales. Lanzhou is the most typical river valley city of China, it is chosen as the case study. Typical river valley terrain, rapid urbanization and severe air pollution have caused unique urban climate and urban heat island (UHI) effects in Lanzhou. Firstly, the spatial structure characteristics and dynamic evolution of temperature and humidity fields in autumn are simulated by mobile measurement experiment and GIS spatial analysis method. The results show that temperature and humidity fields have significant dynamic change within a day, and have multiple center and multiple intensity level characteristics. Then, LULC and normalized difference vegetation index (NDVI) are extracted from remote sensing images, the distribution patterns of temperature and humidity fields have close relationships with LULC and NDVI. Moreover, there is a significant positive correlation between impervious surface area and thermal field intensity. A positive correlation between NDVI value and humidity field intensity has been found as well as a negative correlation between NDVI value and thermal field intensity. Finally, heat fluxes and energy balance characteristics between ground and atmosphere are analyzed based on the Bowen-ratio System experiments. This study could provide theoretical support and practical guidance for urban planning, urban eco-environment construction and air pollution prevention of river valley city.

DEVELOPING A MOBILE APPLICATION FOR SMART REAL ESTATE INFORMATION

Abstract. Successful land information management is an important issue for governments in regards to sustainable development. Reliable and comprehensive data about land and all related factors are essential for effective land policies. Various land related legal applications such as planning, taxation, property management, mortgage, and real estate investments require interoperable, extensive and realistic information about the land and real property. GIS provides greater insight into land by its capability to advance geographic analysis in different aspects. The statistical analysis capabilities of GIS increase the efficiency and accuracy of the evaluations related to land and real estate. Along with the developments of information and communication technologies, modern GIS technologies can handle large and complex data. Web-based and mobile GIS technologies provide the capability of operating and sharing local data and provide geographic analysis tools to users via the web. In this way, various mobile GIS applications can be developed in many different application areas. In this study, a mobile application titled as Smart Real Estate was developed for presenting urban real estate characteristics in different thematic groups by analysing data in different formats coming from different sources.

Simulation of natural disasters and managing rescue operations via geospatial crowdsourcing services in tensor space

Natural disasters have always been difficult to manage because of their spatio-temporal scale. Although the use of GIS and RS has made this process somewhat simpler, there are still serious challenges in managing and smart allocating human resources, increasing operational power and cost savings, continuous monitoring, and ensuring the effectiveness of the relief activities. The development of VGI and the studies of big data have provided the prerequisite for the introduction of the crowdsourcing service into the GIS. In this research, we tried to solve some of the problems and challenges of crisis management by relying on the characteristics of the crowdsourcing service and its integration with the GIS. Dividing complex emergency processes into atomic crowdsourcing services in a wireless mobile environment is regarded as an appropriate solution. Proposed atomic crowdsourcing services include an informative, content, and confirmative segment. Composing such services can manage sophisticated crisis fields. But, the use of services necessitates a robust and operational framework. This framework must also be capable of simulating the environment in addition to executing, managing, and communicating with the environment. However, current crisis management frameworks cannot cover all these issues at the same time. The present study aims to design a crisis crowdsourcing mathematical framework, which has been constructed upon vector space elements, tensors, and geometrical products. Vectors simulate crisis environment for main objects in a multi-dimensional space. In addition, operations are coincided with possible actions among crisis objects. Framework introduces tools to compose and arrange services in optimum mode to conquer complex aiding process. Since low-speed and high processing load are among the fundamental problems of existing software frameworks, the use of tensors and matrices in frameworks increase the speed and decrease the processing load due to cumulative integrated computing. Further, it offers a mathematical intelligible documentation method, which is able to record the processing details as well as the object status in space. On the other hand, although tensors are widely used in other fields of engineering, there is little record of their use in GIS or crisis management. Thus, with the designed framework, it is possible to use the experiences gained from other disciplines. Different scenarios have confirmed the accuracy and efficiency of the framework in deploying potential of crowds. It offers an environment to easily incorporate people in a wireless mobile application, to tackle emergency process. Indeed, rather than the social aspects of research in providing a new IT-based methodology for employing crowd’s ability, this research has implemented a special math framework for managing new proposed crowdsourcing services that is easily implemented through a mobile GIS system in a wireless network.

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.

Research on the application of Mobile GIS in the intelligent protection of historical buildings

Aiming at the protection and management of urban historical buildings, this paper studies the methods of historical building information management and utilization based on mobile GIS to improve the accuracy, timeliness and scientificity of historical building protection and management. This article introduces the use of mobile GIS terminals to quickly collect and manage historical building attribute information, multimedia information, historical archive information, and spatial information. It also supports 3D scene browsing, information analysis, and thematic map production. The historical architecture culture was demonstrated, and the applicability and advancedness of the method were verified through the practical experience of intelligent management of historical buildings in Guangzhou.

Research and Design of Field and Office Work Integration System for Historical Buildings Conservation: Case Study on Guangzhou

In recent years, GIS-based technologies has been applied in multiple fields of study, including historical building conservation. In the field of historic building conservation, GIS technology is mainly used for the spatial information display and spatial analysis of buildings. In terms of traditional methods of historical buildings information collection, GIS technology is mainly applied in the functions of data warehousing and statistical analysis, but barely in the early stage of data acquisition. This article introduces the technology of historical building information acquisition based on mobile GIS device, as well as the integrated data acquisition system, which changes the pattern that separates field and office work. The field collected data is directly imported into the data processing system on the basis of unified data standard, which shortens the intermediate link and integrates the field and office work. As a result of the improved pattern, the efficiency of historical building conservation will be significantly increased.

Internetworking flood disaster mitigation system based on remote sensing and mobile GIS

Flood verification and mitigation based on ground survey has been impeded by many factors. For instance, damage assessment exclusively by onsite expedition could be delayed by restricted access, especially during heavy flooding. To devise appropriate mitigation measures, resources required to thoroughly investigate the incidents in response to disaster could be overwhelming. Moreover, inadequate equipment and non-standardized flood reporting process could also undermine the maneuver. As a consequent, rescue mission was inevitably deferred until the reported incidents had been confirmed. To address these issues, this paper presents an internetworking system for assisting flooding disaster mitigation. Its main contributions were two folds. Firstly, its data intelligent was driven by convergence of both user and official reports of flood incidents and those automatically detected from remotely sensed images. Secondly, the reliability of reported information was ensured by two-factor verification, i.e. by using a state-of-the-art deep learning strategy and by official investigations. The verified incidents were then presented in augmented graphical reports, which were practical in public inquiry and official uses in devising efficient and cost-effective disaster mitigation measures. The developed system was deployed in different cities, most affected by recent floods. Numerical and subjective assessments herein demonstrate the merits of the system.

Regional multiscale Markov random field for remote sensing image classification

According to public and industrial interests on mobile graphics, a preliminary implementation regarding 3D feature visualization system on cell phone was performed using M3G API, one of the de-facto standards for mobile 3D graphic API. Through this experiment, it is revealed that scene graph structure and 3D mobile file format supported from this API is useful one for 3D geo-modeling and rendering in mobile environment. It is necessary that 3D mobile graphic standards can be considered as one component of current mobile GIS services standards to provide value-added 3D GIS contents.