IGiS FOR MANAGING CITIES SMARTLY – URBAN GEOINFORMATICS

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.

The Hatnub Quarries Industrial Landscape Survey 2017: Mobile-GIS Ground-truthing of the Satellite Remote-survey

This paper presents the results of the 2017 mobile-GIS survey of 1 km2 around the Hatnub Egyptian alabaster quarries and analysis of the accuracy of the remote-survey of the same area, which was completed in 2016 using satellite imagery. The analysis revealed that remote-survey was a very accurate method for recording archaeological features in clear and unobstructed parts of the desert, while targeted mobile-GIS survey of obscure areas and questionable features was an effective method for reducing inaccuracies in remote-survey data. The results will inform future phases of the Hatnub Industrial Landscape Project and the fieldwork also identified several avenues of future research into routes and roads across the desert.

Monitoring Program Keluarga Harapan Berbasis Mobile GIS Menggunakan K-Means Clustering

Poverty is a condition that is below the line of minimum requirement standard values, both for food and non-food. The Government of Indonesia has various programs to overcome poverty-based assistance social, including the family hope program. This family hope program is the provision of conditional cash assistance to very poor households in which there are pregnant women, toddlers, elementary, junior high, high school, elderly, and severe disabilities. The amount of assistance obtained based on the level of family poverty with poverty level parameters is seen from the many categories of very poor households concerned along with the obligation of participants to carry out important commitments in the field of Health and Education. The purpose of this research is the development of a mobile-based poor family monitoring application using the k-means clustering method. Validity test results using sample data 21, it can be concluded that the system can group poor families into 7 clusters with a thoroughness rate of 90.4%. Based on these results, K-Means Clustering can be said to have a high accuracy value for clustering poor families.

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.

Application of BIM and GIS Technology in Urban and Rural Planning

For a long time, geographic information system (GIS) technology has been widely used in urban and rural planning. This paper first analyzes the background of urban and rural planning, introduces the concept of building information (BIM), and puts forward the building information model. Then the application of mobile off-line GIS is studied, and the characteristics of mobile GIS are known. Secondly, the concept of urban-rural integration is put forward, and two functions of urban-rural planning are found: macro-control means and public interest protection. Finally, the application of information technology in urban and rural planning management shows that the disposable income of urban and rural residents increases year by year, and the fastest growth in 2020 is 120 million yuan.

Teaching students to develop GIS applications

Мобильные ГИС-приложения становятся все более сложными, как решаемые с их помощью задачи. Обычное ГИС-приложение должно включать такие элементы, как искусственный интеллект, распознавание образов или машинное обучение, реляционные или нереляционные базы данных, пространственное представление и рассуждения. Такие компании, как Google и Apple, разрабатывают новые технологии, связанные с разработкой мобильных приложений. Например, Apple представила в 2019 году на WWDC2019 и WWDC2020 новую технологию под названием SwiftUI, которая направлена на сложности разработки мобильного приложения и позволяющая интегрировать такие технологии, как Mapkit, для представления пространственной информации. В данной работе представлены исследования преимуществ использования SwiftUI для интеграции Mapkit в качестве основы пространственного представления для облегчения разработки мобильных ГИС-приложений. Информационные технологии имеют большое разнообразие применений в различных областях науки. Например, искусственный интеллект и машинное обучение - это технологии, которые начинают широко использоваться в мобильных приложениях. Целью данной работы является исследования способов разработки мобильных приложений, которые могут выполнять представление и вычисления информации в соответствии с требованиями. Mobile GIS applications are becoming more and more complex, as the tasks they solve are. A typical GIS application should include elements such as artificial intelligence, pattern recognition or machine learning, relational or non-relational databases, spatial representation and reasoning. Companies such as Google and Apple are developing new technologies related to the development of mobile applications. For example, Apple introduced a new technology called SwiftUI at WWDC2019 and WWDC2020 in 2019, which aims to reduce the complexity of mobile application development and allows integrating technologies such as Mapkit to represent spatial information. This paper presents studies of the advantages of using SwiftUI to integrate Mapkit as a basis for spatial representation to facilitate the development of mobile GIS applications. Information technologies have a wide variety of applications in various fields of science. For example, artificial intelligence and machine learning are technologies that are beginning to be widely used in mobile applications. The purpose of this work is to investigate ways to develop mobile applications that can perform the presentation and calculation of information in accordance with the requirements.

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.

Mobile Maps and More - Extending Location-Based Services with Multi-Criteria Decision Analysis

Maps are often used as decision support tools in both, desktop geographic information systems (GIS) and mobile GIS environments. The decision support capabilities of current location-based services (LBS) are limited to navigation support and database querying with no analytic evaluation of the attractiveness of alternative destinations being offered. This chapter demonstrates how LBS can be extended with specific decision support functionality, namely multi-criteria decision analysis (MCDA). MCDA was recently transferred to the mobile GIS platform illustrating how LBS user preferences can be represented by the parameters in a MCDA method and will lead to personalized decision outcomes. An extension to a collaborative crisis management scenario is proposed, in which mobile decision-makers have MCDA tools at hand to help them make more informed choices. This chapter describes the scenario and derives a client/server architecture as well as the user interface and map design for a mobile decision support system for emergency response.

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.

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.