# A Geospatial Framework of Food Demand Mapping
## 3 Results
### Food Regional Mapping
In the context of Vilnius city, the central areas exhibit a concentration of blue, which suggests that the central localities have lower eating habit scores as presented in Table 1, specifically recorded at 21.00, indicative of less favorable dietary practices. These areas of lower scores marked by both average and median scores (Table 1) are enveloped by regions of yellow, transitioning to orange, implying a gradient of improvement in eating habits as one moves outward from the city center. The peripheral areas of Vilnius, particularly those in the outlying regions, display an orange hue, which correlates with higher eating habit scores where the maximum is 42.00. This pattern may be indicative of better dietary practices or greater adherence to nutritional guidelines in these zones (Figure 3). To provide a more nuanced interpretation, the gradation from blue in the city center to orange in the outskirts may reflect socio-economic, cultural, or accessibility factors influencing dietary choices in capital city. These findings underscore the heterogeneity of eating habits within the city, suggesting a spatial dependency that merits further investigation to elucidate the underlying determinants (Figure 3). In the context of the spatial distribution of dietary habits within Lithuania, it is noteworthy to elucidate the intra-regional variances observed within the Vilnius area. The heatmap analysis delineates a dichotomy within the city: the south-eastern quadrant is characterized by an aggregation of red to orange hues, indicative of commendable eating practices among the inhabitants. This area's higher scores are reflective of dietary habits \begin{table}
\begin{tabular}{c c c c c} \hline \hline  & **Min** & **Max** & **Median** & **Mean** \\ \hline
**Actual data** & 21.00 & 42.00 & 33.00 & 32.84 \\
**(Lithuania)** & & & & \\ \hline
**Actual data** & 21.00 & 42.00 & 32.00 & 32.62 \\
**(Vilnius)** & & & & \\ \hline \hline
**Results** & 21.00 & 42.00 & 32.88 & 33.02 \\
**(Vilnius)** & & & & \\ \hline \hline \end{tabular}
\end{table} 
Table 1: Actual data and interpolation results. that are aligned with nutritional guidelines, thereby representing public health success within the urban landscape (Figure 3). In stark contrast, the north-eastern section of Vilnius presents a significantly different profile, with blue hues predominating. This signifies a prevalence of suboptimal eating habits that necessitate public health attention and intervention. The divergence between the south-eastern and north-eastern sectors of the city is pronounced and suggests a geographical health disparity within the urban confines (Figure 3). Moreover, the western part of Vilnius is also marked by favorable eating habits, as evidenced by the presence of red to orange shades on the heatmap. This pattern denotes a consistent adherence to dietary recommendations, which is indicative of a well-established culture of health consciousness in these locales (Figure 3). The north and north-eastern regions of Lithuania, extending beyond the metropolitan boundaries of Vilnius, emerge as areas of concern. The observed blue regions in these parts signal the urgent need for targeted nutritional behavioural interventions. These interventions are imperative to address poorer eating habits and to promote a more wholesome dietary culture, with the ultimate goal of enhancing the overall health and well-being of the population (Figure 3). To streamline food system enhancements across various sectors, it is crucial for policy-makers to lead the charge by crafting policies that promote the establishment of grocery stores within food desert regions, as pinpointed by advanced food demand mapping. This initiative could be further bolstered by incentivizing e-grocery services to extend their services to economically disadvantaged neighborhoods, alongside investments in infrastructure and internet accessibility to bolster the efficacy of these digital solutions.