The Brain of Taiwan Smart Cities: A GIS Platform for Sharing 2D and 3D Maps and Information

Scenario

In recent years, with the development and popularity of internet, data sharing and information transparency become the main target for government and enterprises to achieve. By sharing transparent information with each other, decision makers in domains will possess abundant and real-time information to make the best strategies. Besides, transparent information also has a beneficial effect on the developments of smart city. A smart city is defined to improve urban environment, trim costs of city development and energy consumption through technologies to provide citizens with a friendlier city. The core of developing a smart city is to integrate information in domains such as Traffic, Energy, Public Health, and Water Source and so on, to make an efficient city. Therefore, building an information sharing platform would be the very first step of constructing a smart city.

In order to visualize data and make them vivid, analytical model in domains, including Hydrologic analysis, Civil Engineering, Airway Planning and so forth, are displayed with 3D instead of 2D. Which means that 3D visualization has become a trend. However, the development of 3D display and analysis are later in GIS domain for the lack of 3D data. Moreover, maintaining and updating 3D data costs a lot. So, GIS 3D data sharing will play a significant role in improving GIS 3D development.

Goals

Department of Statistics, Ministry of the Interior needs to store social and economic statistical data of Taiwan in domains in cloud database, and build Statistics Map API Service Platform to utilize mass cloud computing sources to assist users in applying statistical data and mapping statistics maps.

Three types of statistical data are included: Statistical Data of Administrative District, Statistical Data of Statistical Area and Statistical Data of Institutions. Besides, statistics map APIs provide diverse functions for mapping statistical data and data parameters settings that enable developers to apply directly.

Solutions

To seamlessly integrate spatial data from domains and publish data as GIS services, Ministry of the Interior, Taiwan, employs SuperGIS Server 3 and SuperGIS 3D Earth Server 3.2 to construct TGOS platform. SuperGIS Server 3.2, designed to integrate and publish GIS data as GIS services, including map service, geographical feature service, OGC service, etc., is the server which passed tests of Taiwan government for providing stable services with its permanence and outstanding resistance. And SuperGIS 3D Earth Server 3.2 is the globe server which has the capability of publishing and displaying data in 3D and enables users to comprehend the spatial relationship of built environment effortlessly. Through APIs on TGOS, all the GIS services published by SuperGIS Server 3.2 and SuperGIS 3D Earth Server 3.2 can be overlaid with those from other platforms. This result exactly meets TGOS’s ideal of sharing and utilizing GIS information so that maps from different domains can be gathered on TGOS.

Results

So far, there are at least 91 government institutions that cooperate with TGOS and share nearly to 8000 kinds of GIS data and online services on the cloud database, and 59 applied TGOS MAP API to implement GIS website. Forecasting by time series, there will be more than 100 systems implementing TGOS MAP API to build self-owned GIS websites for interior management or public services.

Now, several systems in different domains utilize TGOS services, including Disaster Prevention, Urban Planning, Smart Traffic Arrangement, Public Healthy, Governments’ Information Disclosure, Education, etc. Three success cases are listed below:

1. National Science and Technology Center for Disaster Reduction (NCDR)-Disaster Potential Map Website:
Disaster Potential Map Website provides varied GIS data in disaster potential, including submerged land data, tsunami data, debris flow, shelter, etc., and spatial positioning function, so that users can query disaster potential types everywhere in Taiwan and plan the corresponding prevention strategies.

To seamlessly integrate spatial data from domains and publish data as GIS services, Ministry of the Interior, Taiwan, employs SuperGIS Server 3 and SuperGIS 3D Earth Server 3 to construct TGOS platform. SuperGIS Server 3.2, designed to integrate and publish GIS data as GIS services, including map service, geographical feature service, OGC service, etc., is the server which passed tests of Taiwan government for providing stable services with its permanence and outstanding resistance. And SuperGIS 3D Earth Server 3.2 is the globe server which has the capability of publishing and displaying data in 3D and enables users to comprehend the spatial relationship of built environment effortlessly. Through APIs on TGOS, all the GIS services published by SuperGIS Server 3.2 and SuperGIS 3D Earth Server 3.2 can be overlaid with those from other platforms. This result exactly meets TGOS’s ideal of sharing and utilizing GIS information so that maps from different domains can be gathered on TGOS.

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2. Ministry of Interior, Taiwan-Real Estate Actual Transaction Price Inquiring System:

Cooperating with information disclosure policy, Real Estate Actual Transaction Price Inquiring System supports the public to inquire types of real estate transaction and real price of the rental estate, and provides the public with an indicator before transaction. The system attracts nearly to 1000 visitors in average to inquire relevant information at the same time per day.

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3. Centers for Disease Control (CDC), Taiwan-Vector Mosquito Data Management System:

Vector Mosquito Data Management System is the system designed for dengue fever epidemic field survey and interior task management of epidemic control. Surveyors can record and manage information of the infected areas on the website so that epidemic control divisions can comprehend the real-time data of dengue fever epidemic in Taiwan. Cluster of infected case is always related to geographical and spatial features. The system that integrates infected case positioning function with map services will help administrators to make prevention strategy effectively.

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Through TGOS, website developers can utilize APIs to implement diverse GIS functions such as Map Information Query, Basemap Applying, and Address Positioning, trim the cost and the utilization of human resource efficiently, and maintain map services with ease. This effect shows the most significant purpose and contribution of TGOS.

This year, the TGOS 3D API is released and now on promotion. TGOS 3D API has the capability to overlay all the maps in 2D and to be compatible with every service on TGOS, including TGOS MAP API, Positioning Service and GIS Data Query and so on, and to help users to build GIS map website in 3D easily. Extending capability to display and manage GIS services in 3D, TGOS now is approaching the goal of building a smart city: displaying GIS data related to earth like meteorological data, dynamic traffic data, and urban development data in a better way, and assisting decision makers in comprehending diverse real-time data and making more holistic strategies and policies.

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Weather and Disaster Prevention Data on 3D GIS Platform
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Overlay Dynamic Traffic Data on GIS 3D Platform
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Display Urban Planning with 3D Building Models on GIS 3D Platform
Benefits

Based on 2D and 3D foundation, TGOS aims to display GIS data that can indicate information of time series and move to the 4D age. In this way, front-end users of map websites will be able to view historical data in GIS to comprehend development histories of cities, and even to know diffusion of epidemics to figure out important information in disease prevention.

Furthermore, TGOS takes advantage of Internet to enable the public to edit data as well; hence, the public can contribute their information as parts of the big data. Afterwards, by analyzing big data, TGOS developers can realize how the public use the platform and work out how to improve it. For example, website administrators can comprehend the high-profile area on map by analyzing map tiles that are viewed the most, and evaluate which map service to update subsequently.

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