# Image of a City through Big Data Analytics: Colombo from the Lens of Geo-Coded Social Media Data
## 4 Results
### Image Processing  
This study selected a unique number of random non-portrait Twitter and Instagram images from each place and tested them on Wide-resnet architecture [65; 66; 67]. The process of Image Processing can be divided into two main parts. They are the prediction of the class and the identification of the relevant Lynchian category. An exemplified demonstration of the image processing exercise is given in Figure 3. Accordingly, all 762 images were classified.  
As given in Table 1, each prediction was saved with its relevant probability value. The obtained probabilities for each class were summed together to get the most probable prediction of the output class. Using the behavior of the predictions obtained for each place, this study sorted each Lynchian element into its right Lynchian category by referring to the Lynchian definition, i.e., Prediction Class--Skyscraper, Lynchian element--Landmark/Prediction Class: Ocean, Lynchian element: Edge.  
Figure 3: Exemplified image processing. (**a**) Input image: inserted Image; (**b**) output image: heat map of the features used to make the correct predictions.  
As of Table 1, from the identified Lychian categories, 71% of places were identified as landmarks, 18% were Districts, and 11% were Edges. No Paths and Nodes were identified. The distribution of the aforesaid place names according to the Lychian category is given in Figure 4.  
\begin{table}
\begin{tabular}{c c c c c} \hline
**Place Name and Code** & **Number of Photos** & **Prediction Class** & **Probability** & **Lynchian Category** \\ \hline Altair Residential & 25 & Skyscraper & 51.98\% & Landmark \\ Condominium (ARC) & & & & \\ Arcade Independence Square & 30 & Mosque/Outdoor & 31.34\% & Landmark \\ (AIS) & & & & \\ Beddagana Wetland Park & 28 & Broadwalk & 72.48\% & District \\ (BWP) & 28 & Canal & 42.81\% & Edge \\ Beira Lake (BL) & 30 & Park & 32.46\% & District \\ Bellanvila Park (BP) & 28 & Park & 32.46\% & District \\ Bandaranaike Memorial & & & & \\ International Conference Hall & 30 & Elevator lobby & 22.94\% & Landmark \\ (BMICH) & & & & \\ Borella Cemetery (BC) & 25 & Cemetery & 75.40\% & Landmark \\ Colombo City Center (CCC) & 30 & Department Store & 47.91\% & Landmark \\ Diyatha Uyama (DU) & 25 & Park & 25.36\% & District \\ Colombo Fort (CF) & 25 & Library & 21.52\% & District \\ Galle Face (GF) & 30 & Ocean & 22.62\% & Edge \\ Galle Face Hotel (GFH) & 30 & Ballroom & 30.78\% & Landmark \\ Gangaranaya Temple (GT) & 25 & Temple & 40.98\% & Landmark \\ Hilton Hotel (HH) & 28 & Hotel & 42.35\% & Landmark \\ Kelaniya Temple (KT) & 15 & Temple & 57.16\% & Landmark \\ Kingsbury Hotel (KH) & 30 & Hotel/Outdoor & 45.87 & Landmark \\ Liberty Plaza Building (LPB) & 30 & Department Store & 36.96\% & Landmark \\ Lotus Tower (LT) & 30 & Tower & 42.21\% & Landmark \\ Mount Lavinia Beach (MLB) & 30 & Beach & 27.41\% & Edge \\ One Galle Face Building & 30 & Skyscraper & 33.44\% & Landmark \\ (OGFB) & & & & \\ Parliament (P) & 15 & Legislative Chamber & 59.2\% & Landmark \\ Petttah Market (PM) & 28 & Bazaar & 43.13\% & District \\ Port City (PC) & 30 & Harbor & 28.07\% & District \\ Savoy Cinema (SC) & 25 & Movie Theatre & 32.53\% & Landmark \\ Shangri La Hotel (SLH) & 30 & Hotel & 45.64\% & Landmark \\ Viharamahadevi Park (VP) & 30 & Park & 55.60\% & District \\ World Trade Center (WTC) & 25 & Skyscraper & 60.06\% & Landmark \\ Zoo (Zoo) & 25 & Aquarium & 31.99\% & District \\ \hline Total & & 762 & & \\ \hline \end{tabular}
\end{table}
Table 1: Identifying Lychian categories.