Interactive Mapping Applications Research Articles

Sistem Informasi Geografis Peta Interaktif Pariwisata Kabupaten Pati berbasis Sistem

The development of information technology, especially Geographic Information Systems (GIS), has made a significant contribution to improving tourism services in various regions. This research aims to analyze the level of user satisfaction with the GIS-based Pati Regency Tourism Interactive Map Application. The research method was carried out through collecting survey data from application users which involved respondents from various levels of society.
 This application is designed to provide comprehensive and up-to-date information regarding tourism destinations, facilities and travel routes in Pati Regency. Users can take advantage of interactive features to plan tourist trips more efficiently. Using questionnaires and interviews, this research evaluates user satisfaction with the user interface, information availability, data accuracy, and ease of use of the application.

Analysis of tree quality on the green line using google earth in Tanjung Morawa District, Deli Serdang Regency

City development with unfriendly development causes the quality and quantity of open green space to decrease. Google Earth is an interactive mapping application released by google, which displays a digital visualization of the geographical shape of the earth. This study aims to determine the type and quality of trees on the urban forest in the Tanjung-Morawa sub-district and to map the quality of trees on the urban forest in the Tanjung-Morawa sub-district. This study uses a modified method of tree quality assessment with two criteria: tree health and technically criteria. From the observation result, there are 18 trees, Glodokan (Polyalthia longifolia) with the highest number, as many as 842 trees, and Dadap Merah (Erythrina crista goly) as the tree with the least amount. The quality of the trees in the urban forest shows a moderate good quality, where the highest health is in the medium category and for the technical in the low category. Trees that are recommended to be cut have a cumulative ≥ 2,5 Angsana trees with a total of 129 trees, and the highest cumulative percentage is the Banyan tree at 66,67%. The Mango tree has the lowest rate at 8,70%. Google Earth can’t be used optimally because of the low-resolution image quality. Image capture data in google earth has not been updated; the unstable internet connection and the time of the retrieval and processing of field data are not the same as the time retrieval and processing.

Human AGEs: an interactive spatio-temporal visualization and database of human archeogenomics.

Archeogenomics is a rapidly growing interdisciplinary research field driven by the development of techniques that enable the acquisition and analysis of ancient DNA (aDNA). Recent advances in aDNA studies have contributed significantly to increasing our understanding of the natural history of humans. One of the most significant challenges facing archeogenomics is the integration of highly heterogeneous genomic, archeological, and anthropological data and their comprehensive analysis, considering changes that occur in time and space. Only this complex approach can explain the relationship between past populations in the context of migration or cultural development. To address these challenges, we developed a Human AGEs web server. It focuses on creating comprehensive spatiotemporal visualizations of genomic, archeogenomic, and archeological information, which can be provided by the user or loaded from a graph database. The interactive map application at the center of Human AGEs can display multiple layers of data in various forms, such as bubble charts, pie charts, heatmaps, or tag clouds. These visualizations can be modified using various clustering, filtering, and styling options, and the map state can be exported to a high-resolution image or saved as a session file for later use. Human AGEs, along with their tutorial, are accessible at https://archeogenomics.eu/.

Cancer InFocus: Tools for Cancer Center Catchment Area Geographic Data Collection and Visualization.

The NCI added Community Outreach and Engagement (COE) requirements for NCI-designated cancer centers in 2017, including the charge of characterizing the cancer burden in the geographic area served by their center (i.e., catchment area). Doing so helps cancer centers better identify needs and areas of inequality in their populations to guide research and outreach. To accomplish this, current and comprehensive data must be gathered from multiple sources and analyzed by the COE-a task that is tedious and inefficient. In this paper we present an efficient solution, known as Cancer InFocus, to collecting and visualizing quantitative data that we have generalized for use by other cancer centers on their catchment areas. Cancer InFocus utilizes open source programming languages and modern data collection techniques to gather and transform publicly-available data from various sources for use in specific geographic contexts. Cancer InFocus delivers a choice of two routes for creating interactive online mapping applications that visualize cancer incidence and mortality rates, along with relevant social determinant and risk factor variables, at various geographic levels for a defined cancer center catchment area. Generalized software has been produced to collect and visualize data on any set of U.S. counties, which can be automated to continue providing the most up-to-date data. Cancer InFocus provides tools for cancer centers to accomplish the critical task of maintaining current and comprehensive catchment area data. The open source format will facilitate future enhancements through user collaboration.

GIS-Based Interactive Map to Improve Scheduling Beekeeping Activities

This research work presents a developed geographic information system-based interactive map application to support beekeeping activities. The interactive map includes various features such as flowering calendar, weather information, and information about plants, and has the option to link the hives with remote monitoring system data observation. Data about the actual plants and areas are taken from the Latvian geographic information system (GIS) provided by the Rural Support Service of Latvia. Plants flowering data are prepared manually, based on agronomy data and flowering simulation throughout the year the data are developed and presented to the beekeepers. The developed flowering simulation provides an overview of the flowering plants in a specific region and at a certain time. This information can be used in various ways, including usage by the migratory beekeepers for selection and planning of potential foraging locations, other agricultural specialists, and the general public for educational needs. Free software environment for statistical computing and graphics R was used for the development of the solution. The interactive map application can be extended by different models, additional factors and parameters can be implemented to increase its potential application. This work was conducted within the Horizon 2020 FET project HIVEOPOLIS (Nr. 824069).

Multi-Task Edge Detection for Building Vectorization From Aerial Images

The extraction of building outline vectors is an essential task in supporting various applications. Although the recent development of deep learning based techniques has made advancements in the automation of this task, the accuracy and precision are insufficient due to errors caused by abundant noise and obstruction around buildings in aerial images. To better address this issue, this paper presents a new approach called the multi-task edge detection (MTED) for building vectorization with the following characteristics. First, instead of detecting building corner points that are very sensitive to noise effects, a deep learning based rotated bounding box detector is introduced for building edge detection to increase robustness to interference. Second, a multi-task learning strategy is designed to integrate building segmentation inside the METD framework to closely guide the edge detection using spatial context. Third, a simple yet effective geometry-guided post-processing method is designed to reconstruct vectorized building outlines based on the detected edges and learned building shape prior knowledge. The comparative experiments conducted on benchmark very-high-resolution optical aerial images indicate that the proposed approach can significantly outperform the state-of-the-arts in terms of vertex-based building outline accuracy metrics. With a test time of 58ms per building, this method enables efficient building polygon labeling in interactive mapping applications for building surveying and mapping. Code is available at https: //github.com/yifanthomaswu/MTED_framework.

Evaluating the Economic Viability of Agricultural Pellets to Supplement the Current Global Wood Pellets Supply for Bioenergy Production

In this study, an inter-continental agricultural pellet supply chain is modeled, and the production cost and price of agricultural pellets are estimated and compared against the recent cost and price of wood pellets in the global marketplace. The inter-continental supply chain is verified and validated using an integration of an interactive mapping application and a simulation platform. The integrated model is applied to a case study in which agricultural pellets are produced in six locations in Canada and shipped and discharged at the three major ports in Western Europe. The cost of agricultural pellets in the six locations is estimated to be in the range of EUR 92–95/tonne (CAD 138–142/tonne), which is comparable with the recent cost of wood pellets produced in small-scale pellet plants (EUR 99–109/tonne). The average agricultural pellet price shipped from the six plants to the three ports in Western Europe is estimated to be in a range of EUR 183–204 (CAD 274–305/tonne), 29–42% more expensive that the average recent price of wood pellets (EUR 143/tonne) at the same ports. There are several potential areas in the agricultural pellet supply chains that can reduce the pellet production and distribution costs in the mid and long terms, making them affordable supplement to the existing wood pellet markets. Potential economic activities generated by the production of pellets in farm communities can be significant. The generated annual revenue in the biomass logistics system in all six locations is estimated to be about CAD 21.80 million. In addition, the logistics equipment fleet needs 176 local operators with a potential annual income of CAD 2.18 million.

Проектирование базы пространственно-временных данных о магистральных электрических сетях Pоссии

Backbone power lines in Russia have a complex spatial structure. There are no systematized and topologically consistent spatio-temporal data about them. however, the study of their evolution requires not only data mining, but also a comprehensive design of the structure of the spatio-temporal database. The structure should provide effective data storage, be convenient for filling the database and editing data, provide the ability to reconstruct the network for a given period and apply spatial analysis methods. Open sources like power grid operator reports, schemes and programs of power grid development, public cadastral map, information from Situational and Analytical Center of the Ministry of Energy and very high spatial resolution remote sensing data are the main data sources. Users do not have direct access to the database but refer to it using queries. Interaction with the database is carried out through Application programming Interface (API). This allows downloading data from the database as well as embedding them into external systems, for example, connecting analysis tools to them, creating cartographic web applications with this data. Data preprocessing is performed in python using the Arcpy module, the database is created with PostgreSQl, the API works on PostgREST. Consistent multi-temporal spatial database serves as the basis for analyzing the structural features of electrical networks, makes it possible to visualize the history of the development of the power grid of the territory in an interactive web-based mapping application, allows to apply geoprocessing tools and special network analysis tools. The detailed study of the evolution of backbone power grids is crucial in long-term strategies for the development of the power grid. Abroad, studies of the evolution of electrical networks usually operate with a schematic graph of a network without reference to real spatial geometry, therefore, there is no problem of designing the structure of spatio-temporal database. yet, ignoring topomorphological relationships in the network leads to the loss of information about electrical networks, which leads to a loss in the quality of spatial analysis.

CitiSafe – Interactive Crime Reporting

Crimes and emergencies require urgent responses from emergency services like police, fire services and medical services. These response services have a reporting system that is tedious. Most times reported incidents are not seen through properly. The victim or witness who reported the crime has no means to know the status or progress of their report. Efficient, easy and direct reporting along with immediate or minimal inputs are very crucial as lives may be at risk in the said cases. The proposed system aims to achieve these goals and provide a complete end-to-end solution for real-time crime reporting along with location tracking. The application will consist of an interactive and user-friendly map application for the public to inform the authorities about the crimes and emergencies in real-time. The interactive map will showcase all the nearby emergency services such as police stations, hospitals, etc. The crime or emergency will be reported in real-time along with location marked on the map. The emergency or crime can be reported with images or voice recordings as well. The appropriate authorities will receive the reports which will be available to them on a dashboard. The status of the response to a report can be monitored in real-time. The details of the reporting, tracking and response times will be recorded in the system.

Interactive Spatial Visualization of Aggregated Non-spatial Coronavirus Data

Abstract. The article describes the process of aggregation of media-based data about coronavirus pandemic in the Olomouc region, Czech Republic. Originally non-spatially located news from different sources and various platforms (government, social media, news portals) were automatically aggregated into a centralized database. The application “COVID-map” is an interactive web map solution which visualizes records from the database in a spatial way. COVID-map has been developed within Ad hoc online hackathon as an academic project at the Department of Geoinformatics, Palacký University Olomouc, Czech Republic. Alongside spatially localized data, map application collects statistical data from official sources e.g. from the governmental crisis management office.Our approach focuses on cartographical aspects of COVID-map solution. It respects current trends in both development of cartographic oriented outputs and web-based interactive map application. It is fully responsive. Originally, nonspatial data were aggregated, verified, geo-located, and finally visualized in the map environment. The layout combines three main parts: interactive map with spatial data; information panel with updated statistical data; and a sidebar with a filterable list of verified and geo-located news. The main cartographic method used for the visualisation is the choropleth map. It shows the distribution of positively tested people per 10 000 inhabitants for each sub-region. In comparison with similar coronavirus visualisation made during the current pandemic, our solution respects fundamental cartographical rules.Following cartographical topics are discussed in the article: the correct choice of cartographic method and its implementation; determination of a colour scale; recalculation statistics data into relative units by choropleths map method; design of map symbols and legend; searching for a suitable visualization of spatial and non-spatial sources into map layout; discussion on the suitability of using a clustering method.The motivation for this project was both social responsibility and dissatisfaction with the wrong implementation of basic cartographic methods in a variety of alternative solutions. The impact was immediate. Within a few days after the launch, tens of thousands users per day visited the COVID-map. It has been published by regional and national media. The COVID-map solution could be considered as a suitable ad-hoc implementation of the correctly used cartographical method on the example of coronavirus pandemic. The application “COVID-map” is available online at URL: https://gis.upol.cz/covid/mapa/.

FinChildren Register: National monitoring of child and adolescent health and well-being in Finland

Abstract Background Comprehensive and up-to-date data on child and adolescent health and well-being is essential for monitoring, service development and decision-making. Although nearly all children and adolescents in Finland attend annual health check-ups at child health clinics and school healthcare, the utilization of collected data has been limited. The objective is to produce timely and representative information on the health and well-being of children, adolescents and their families based on routinely collected register data. Methods Data are collected from health check-ups performed at child health clinics and school health care. Recorded data are transferred through patient information systems to the Register of Primary Health Care Visits. The data can be linked to other national registers with personal identity codes. The first phase aimed to evaluate the availability and quality of register-based data through inspection of data coverage on height and weight data of children and adolescents aged 2 to 16 years. Results In 2018, the coverage of height and weight data ranged from 0% to 100% between municipalities depending on age group. Results were published through an interactive map application and municipality-specific summaries by gender and age group at national and municipality levels. The data enabled reporting up-to-date results on the prevalence of child and adolescent overweight and obesity in Finland. Conclusions Data from health check-ups form an excellent database for monitoring child and adolescent health and well-being in Finland. The challenges of utilizing register data are mainly caused by difficulties in data transfer from patient information systems resulting in insufficient data coverage. Publishing local-level reports on data coverage as well as on the results promotes data availability and quality while enabling evaluation of actions needed for promoting the health and welfare of children and their families.

International Mind, Activities and Urban Places (iMAP) study: methods of a cohort study on environmental and lifestyle influences on brain and cognitive health

IntroductionNumerous studies have found associations between characteristics of urban environments and risk factors for dementia and cognitive decline, such as physical inactivity and obesity. However, the contribution of urban environments...

Mapping Creative Industries: A Case Study on Supporting Geographical Information Systems in the Olomouc Region, Czech Republic

The article presents an interdisciplinary link between the geospatial and the cultural sector. This is a unique study of Central Europe in visualizing and interpreting the spatial location of elements in cultural and creative industries. The main purpose was to create suitable visualizations and to process the spatial aspects of cultural and creative industries in a cartographical environment. A team of professionals from several fields (geoinformatics, economics, culture, social sciences, cartography) was assembled to map the creative industries in Olomouc Region, Czech Republic. A total of 1,211 subjects were identified which created the conditions for the employment of more than 5,000 people. Their turnover exceeds EUR 190,000,000 annually. This study was based on an initially examined dataset. Seven spatial analyses were applied. Thirty analogue maps and one interactive map application were created. The point character map was the most used one. The price map, as a background layer, was considered very useful for further map reading. The essential phenomena were topics of population density and transport. Based on the generated map outputs, we found that subjects had a tendency to concentrate in the city center or in areas with higher prices and service levels.

Kaleidoscope of Swiss Cartography

Kaleidoscope of Swiss Cartography

AN INTEGRATED APPROACH FOR SOCIO-TECHNICAL SYSTEMS ANALYSIS BY THE APPLICATION OF A WEB MAP SOLUTION

INTRODUCTION
 Socio-technical systems modelling and analysis are playing an important role for sustainability and scenario evaluation in different situations and domains – environmental modelling and simulation, agricultural management, tourism simulation, educational purposes and many others. There are many challenges when scientists are faced with a practical systems simulation modelling situation. These challenges are on choosing an appropriate simulation modelling tool according to the particular situation and on-site integration of a large amount of data in the simulation environment. An option for that particular challenge is to develop a solution by the application of multiple modelling approaches and by integrating them with the Web map application to provide the online data needed for simulation processes and the analysis of different scenarios or outcomes.
 The aim of this paper is to present the results of interdisciplinary research done in collaboration with scientists in environmental modelling and the socio-technical systems engineering fields.
 MATERIAL AND METHODS
 Enterprise modelling as a model development tool is used to provide a holistic understanding of the mentioned domain. In the case of policy makers, the application of 4EM methodology and incorporation of a simulation modelling environment offers a comprehensive tool to influence relevant policies and regulations on the basis of the best available information and the outcome of different scenarios.
 Modern web map applications provide an interactive form of data presentation, especially in the case of spatially related data. On the one hand, the user can easily define inputs to analyses and on the other hand, results of the analyses and simulations are presented in a way that the user can extract information on different levels.
 RESULTS
 As an outcome of this research is an integrated approach for socio-technical systems analysis which is applied in a Web Map Application to provide online visualization of the data provided in the form of maps, charts and tables.
 This application also provides a participatory tool that involves scientists and members of the general public, working together to develop conceptual and dynamic models to address environmental issues. The parameters and conditions of these areas are continuously changing.
 The enterprise modelling approach in combination with simulation tools and utilization of a modern web map application provides an active research tool in situations when many stakeholders are involved in building a comprehensive model and to get the most benefit from its outcome.
 It also provides a holistic view of environmental processes and their influence on residential activities in the protected landscape areas.
 A practical result of this paper, the solution designed and developed during the research was tested in a real life situation in Kala lake with inputs provided by the management board of the lake and an environmental agency. Visualization of the results in the form of an interactive web map application provided an explanatory and straightforward presentation of the results for an expert group, as well as for the general public.
 The developed web map application combines the visualization of the results in the form of charts and tables with the visualization of spatially related phenomena as data layers in a map window, with other map layers from different data providers. On the other hand, the web map application provides functionality for users to insert the parameters of analytical methods and simulation tools to improve the results from previous iterations and/or additional conditions to the computations.
 DISCUSSION
 The advantages of the presented approach is to combine mathematical operations and simulations in the background while the results of these background operations are presented using graphical and cartographic methods in an explanatory form for a variety of users. The expansion of the utilization of web maps in recent years provides an interactive way to present information and to extract knowledge that are important as a support for further decision- and policy-making processes.
 CONCLUSION
 Future work is related with the application of a multi-approach in the socio-technical systems analysis, simulation, verification and validation processes. The interoperability of different modelling software would expand the functionality of the proposed software.
 ACKNOWLEDGMENT
 Michal Kepka was supported by the project LO1506 of the Czech Ministry of Education, Youth and Sports under the program NPU I.

Patient-Physician Relational Continuity and Health System Utilization Among Albertans

IntroductionThe Office of the Auditor General report on Chronic Disease Management in 2014 identified that in Alberta there are no processes to identify individuals with chronic diseases who do not have or cannot find a Primary Health Care (PHC) physician, and provide them with ongoing care.
 Objectives and ApproachLinked provincial administrative data (Practitioner Claims, National Ambulatory Care Reporting System, Discharge Abstract Database, Clinical Risk Groupers) to identify Albertans with chronic disease who do not have any contact or have low relational continuity with primary care physicians, and examine their healthcare utilization (Hospitalizations, Ambulatory Care Sensitive Conditions, 30-day Hospital Readmissions, Emergency Department visits, and Family practice Sensitive conditions). Usual Provider Continuity index was used to measure relational continuity. Used GIS software to combine findings from secondary data analysis and produced an interactive Online Mapping Application. Ongoing spatial and regression analysis will examine relationship between relational continuity and healthcare utilization.
 ResultsThe majority of individuals in Alberta with no or low primary care visits were men (62.6%), did not have a chronic disease (94.9%), and belonged to the healthy or healthcare non-user status. Albertans were grouped based on patient-physician relational continuity, and it was seen that the likelihood of emergency department visits and 30-day readmissions declined with increase in continuity, however similar results were not seen in case of hospitalizations. To promote utilization of findings an Online Mapping Application was used to present population groups and their characteristics. Univariate and multivariate analysis will be conducted to examine relation between relational continuity and healthcare utilization, especially usage that could be avoided through regular contact with primary care, while controlling for socio-demographic and health related factors.
 Conclusion/ImplicationsThe results emphasize that the focus should not be on those with no or low number of primary care visits. Strategies focused on linking patients to PHC services and fostering patient-provider relationship are critical to meet the health needs of Albertans and create efficiencies in health system utilization.

Implementation of Online and Offline Building Information System based on Virtual Reality and Augmented Reality

Modern people can use navigation on the outside to save time and get to the destination well. Likewise, in order to find out more information about a destination building, such a system is increasingly needed both in front of the computer (on-line) of the house and after reaching the destination in the building (off-line). Accordingly, we employ Building Information System (BIS) as a system that provide users with content related to a building like BIO and BIM. The Building Information Online system (BIO) is an interactive map application designed to assist customers in finding parcels and building on a map online. The Building Information Modeling (BIM) allows nD information to be visualized simultaneously by architects, engineers and constructors to gain a synchronized understanding viewing from different perspectives. Inspired by above researches, we implement a service that provides online and offline Virtual Reality (VR) and Augmented Reality (AR) content for a building. This system can provide users outside the building with information within the building via devices with VR and AR support regardless of space restrictions. The system is designed to operate across scenarios requiring offline, online, offline-online collaboration, etc., and the corresponding experiments are carried out.

BUILDING A COMPLETE FREE AND OPEN SOURCE GIS INFRASTRUCTURE FOR HYDROLOGICAL COMPUTING AND DATA PUBLICATION USING GIS.LAB AND GISQUICK PLATFORMS

Abstract. Building a complete free and open source GIS computing and data publication platform can be a relatively easy task. This paper describes an automated deployment of such platform using two open source software projects – GIS.lab and Gisquick. GIS.lab (http: //web.gislab.io) is a project for rapid deployment of a complete, centrally managed and horizontally scalable GIS infrastructure in the local area network, data center or cloud. It provides a comprehensive set of free geospatial software seamlessly integrated into one, easy-to-use system. A platform for GIS computing (in our case demonstrated on hydrological data processing) requires core components as a geoprocessing server, map server, and a computation engine as eg. GRASS GIS, SAGA, or other similar GIS software. All these components can be rapidly, and automatically deployed by GIS.lab platform. In our demonstrated solution PyWPS is used for serving WPS processes built on the top of GRASS GIS computation platform. GIS.lab can be easily extended by other components running in Docker containers. This approach is shown on Gisquick seamless integration. Gisquick (http://gisquick.org) is an open source platform for publishing geospatial data in the sense of rapid sharing of QGIS projects on the web. The platform consists of QGIS plugin, Django-based server application, QGIS server, and web/mobile clients. In this paper is shown how to easily deploy complete open source GIS infrastructure allowing all required operations as data preparation on desktop, data sharing, and geospatial computation as the service. It also includes data publication in the sense of OGC Web Services and importantly also as interactive web mapping applications.

Measuring children's independent mobility: comparing interactive mapping with destination access and licence to roam

ABSTRACTChildren's independent mobility (IM) lacks a standardised definition and measurement protocol. Interactive mapping applications can capture geographically defined mobility data. In this study of 219 children, independent parental licences (IM Licence) and allowances to travel to certain locations unsupervised (IM Index) were collected through a questionnaire, and compared to IM-roaming areas derived from the Visualisation and Evaluation of Route Itineraries, Travel Destinations, and Activity Spaces (VERITAS-IM) mapping application. Significant relationships were found between the VERITAS-IM-derived measures and traditional measures of IM (IM Licence and IM Index). Results suggest the perceived degree of children's IM is heavily dependent on the assessment method and a combination of methods should be considered.

Automated layout of origin–destination flow maps: U.S. county-to-county migration 2009–2013

ABSTRACTVisualizing large movement datasets with flow maps is difficult because overlapping flows create significant graphical conflicts that make accurate interpretation difficult or impossible. Interactive flow mapping applications allow users to explore large movement datasets by automatically generating flow maps from subsets of the data in response to queries by the user. However, even a small number of flows can overlap and cross each other in a way that impedes accurate interpretation. We introduce an interactive flow map of migration in the United States from 2009 to 2013 that uses a force-directed method to automatically lay out migration flows at the county-to-county and state levels. This map, available at http://usmigrationflowmapper.com/, aims at improving readability by automatically creating origin–destination flow layouts according to identified cartographic design principles. Map users explore high-level state-to-state migration patterns as well as detailed county-to-county movements through a custom user interface and interactive map features. We show migration flows between counties of different states by representing other states as nodes with a circular arrangement around the selected state, and connect county flows to those nodes. This constrains the map layout to a smaller area, reducing clutter and the amount of interaction required to view flows.