Geovisualization Using HTML5 : a case study to improve animations of historical geographic data

Abstract

Popular science Visualize geographic data Using HTML5 The Scanian Economic-Demographic Database (SEDD) has been assembled by the Centre for Economic Demography (CED), Lund University. It contains demographic and economic information of Scania from the 17th century until the present. The SEDD database has been integrated with geographic data, which are digitized from four independent historical maps. To help the users well understand these data, a web mapping application called SEDD Map has been developed and tested. The previous version of SEDD Map is constructed using Silverlight plugin. It cannot run on most popular portable devices. As Hypertext Markup Languages (HTML) continue to develop, a recent version, HTML5, was published in 2012. It aims to support the latest multimedia formats and reduce the need for plugins. So, to improve the compatibility of SEDD Map, this work using HTML5 to developed a new version of SEDD Map. Before we constructed the new version of SEDD Map, a set of web mapping applications and programs were evaluated. From this evaluation and comparison, we found that SEDD Map could be improved in many area, such as improving the animation of historical geographic data. Animation is a useful tool when presenting historical data. The geographic data in SEDD Map are taken from four independent historical maps. To visualize geographic data as an animation, we need to create a time sense sequential dataset. In this study, we used linear interpolation and the four historical maps as start years and end years to simulate 159 maps to visualize the geographic data as animations. From this study, we found that: The commonly used web mapping applications for investigating demographic data contain functions, such as interactive visualization, statistical graphics, basic map tools, animations, etc; HTML5 can replace (and improve) the used of Silverlight for web mapping; Animations can be generated (filling in what is missing is to improve the data sets).The Scanian Economic-Demographic Database (SEDD) has been assembled by the Centre for Economic Demography (CED), Lund University. It contains information about the demographic and economic conditions of people that have lived in 5 parishes in Scania from the 17th century until the present. The SEDD database has been integrated with geographic data, which are digitized from four independent historical maps. To visualize and analyze these data, a GIS based web mapping application called SEDD Map has been developed and tested. The previous version of SEDD Map is constructed using Silverlight. As a result, it only can be used on computers which have installed the Silverlight plugin. As Hypertext Markup Languages (HTML) continue to develop, a recent version, HTML5, was published in 2012. It aims to support the latest multimedia formats and reduce the need for plugins. In this study, we use HTML5, Cascading Style Sheets (CSS3), JavaScript and the ArcGIS API for JavaScript to create a new version of SEDD Map to visualize data stored in the SEDD database. Before we constructed the new version of SEDD Map, a set of web mapping applications and programs were evaluated by the requirements which were needed to create the new version of SEDD Map. From this evaluation and comparison, we found that SEDD Map could be improved in many area, such as improving the animation of historical geographic data. Animation is a useful tool when presenting historical data. The geographic data in SEDD Map are taken from four independent historical maps. To visualize geographic data as an animation, we need to create a time sense sequential dataset, which is done in a parallel project. In this study, we evaluate techniques for data animation. We used linear interpolation and the four historical maps as start years and end years to simulate 159 maps to visualize the geographic data as animations. The conclusions are as follows: 1) The commonly used web mapping applications for investigating demographic data contain functions, such as interactive visualization, statistical graphics, basic map tools, animations, etc. 2) HTML5 can replace (and improve) the used of Silverlight for web mapping. 3) Animations can be generated (filling in what is missing is to improve the data sets)

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