# Physical and Augmented Dynamics of a Cultural Event
## 2 Materials and Methods
### Geospatial Data Sources and Referencing  
Five types of maps, images, and plans were applied (Table 1): (1) Taiwan Geospatial One Stop (TGOS), Urban and Rural Development Branch, Construction and Planning Agency, and Ministry of the Interior (MOI) [37]; (2) Taiwan Map Service, National Land Surveying and Mapping Center (NLSC), and MOI [38]; (3) Google Earth Pro\({}^{\text{\textregistered}}\); (4) Google Maps\({}^{\text{\textregistered}}\); and (5) urban plans [39; 40; 41]. Maps were already georeferenced in the GIS platforms of TGOS and NLSC. Satellite or aerial images were retrieved and analyzed to examine the evolved urban fabric according to newly added or modified land uses. Image capture of the development was performed prior to, during, and after the festival. Although the exact images taken during the TLF may not have been found, the constructions, which may have started two years before the event, revealed the interactions between the festival and the surrounding urban fabric. TGOS information from 2015, 2018, and 2020 was referenced to check the zoning modifications made to the land-use classification and to determine whether matches were made between construction types and classifications. Each type of land use was assigned by a specific color on a map. The color-coded area was calculated to quantify the development of the festival site. District maps of land use were retrieved from the NLSC, and maps between 2005 and 2020 were compared. Due to an inconsistent color code system for land use between 2006 and 2019, cross-referencing was performed with the TGOS to obtain updated data. We consulted historic images from Google Earth Pro\({}^{\text{\textregistered}}\) to identify inconsistent areas based on the color code between 2015 and 2020. Images taken between 2002 and 2009 were missing. The most current aerial Google Maps\({}^{\text{\textregistered}}\) images were compared with historic Google Earth Pro\({}^{\text{\textregistered}}\) images and used to identify changes made between 2020 and 2021. The first and second layers of information in the urban plans were applied to specify the evolved revisions in the defined area-of-interest cited in the urban plans initialized by the related local government planning departments. \begin{table}
\begin{tabular}{c c c c} \hline \hline
**Source** & **Data Type** & **Years** & **Coordinate Reference System (CRS)** & **Resolution** \\ \hline TGOS & Official land-use maps & 2015, 2018, and 2020 & TWD97(EPSG:3826) & 0.298 m in 1/1000 \\ \hline NLSC & District land-use maps & Between 2005 and 2020 & TWD67, TWD97, TWD97[2010] & 0.298 m in 1/1066 \\ \hline Google Earth Pro\({}^{\text{\textregistered}}\) & Satellite and aerial imagery, GIS data & Between 2015 and 2020 & WGS84(EPSG:4326) & 0.1\(\sim\)0.2 m \\ \hline Google Maps\({}^{\text{\textregistered}}\) & Satellite imagery, topological maps, vector graphics & 2020, 2021 & WGS84(EPSG:3857) & 0.149 m in 1/533 \\ \hline Taoyuan & Urban plans & 2021 & TWD97(EPSG:3826) & \\ \hline Yunlin & Urban plans & 2021 & TWD97(EPSG:3826) & \\ \hline Chiayi & Urban plans & 2021 & TWD97(EPSG:3826) & \\ \hline \hline \end{tabular}
\end{table} 
Table 1: The five types of maps, images, and plans used. Satellite images, vector drawings, urban plans, specifications, and 3D-point clouds presented different levels of tolerance in defining the boundaries. The images were applied from different Google(r) platforms, which were prepared and integrated with maps surveyed in different years with periodic updates. We registered urban plan drawings with satellite images to derive exact land-use boundaries, allowing us to determine land-use changes. Additional verification was conducted, since the color code was not consistent by GIS platform or year at the same location. The level of precision measured by area and distance was not confirmed from the provider and was used for reference only, since the maps came in different coordinate systems and went through a series of projections, overlays, and transformations between the systems.