GIS 5007 Module 5 - Choropleth Mapping



This week's assignment challenged us to craft a compelling choropleth map. We focused on thoughtfully selecting a color scheme that effectively communicates the data's nuances. Beyond aesthetics, the task involved designing clear and informative legends and employing appropriate data classification methods. A key component was leveraging SQL programming to refine data presentation, allowing for targeted insights. Finally, we integrated proportional or graduated symbols to add another layer of visual information, all culminating in a cohesive and insightful map.



Leveraging the robust ArcPro ecosystem, I meticulously crafted my map, with only minor refinements applied to the SVG files. To enhance visual communication, I designed custom picture symbols using open-source icons sourced from https://www.svgrepo.com/. In a subtle yet impactful modification, I augmented the wine glass icon with a simple rectangle, lending it a fuller appearance. For the map's thematic resonance, I curated and refined a color palette using palleton.com. This involved selecting a vibrant spectrum of poppy and wine-reminiscent reds, juxtaposed against the grounding hues of bottle and leaf greens. To facilitate sharing and future use, I've compiled these custom color schemes and icons into a readily accessible stylepack.

To achieve precise data visualization, I extensively employed layer classes and the power of SQL. This allowed me to strategically filter and display information, excluding the area designated for my inset map. Furthermore, I utilized SQL to dynamically adjust the color shades of country labels, ensuring optimal legibility against the underlying map features. Recognizing the potential for visual clutter, I again leveraged SQL to selectively remove labels for smaller entities like Monaco and Vatican City. Given that Monaco's consumption patterns mirrored neighboring France, and Vatican City's generally aligned with Italy, these labels contributed minimally to the overall understanding of the map. This targeted application of SQL resulted in a cleaner and more focused visual narrative.

Comments

Popular posts from this blog

GIS 5007 - About Me!

GIS 5100 Module 5 Damage Assessment

GIS 5100 M4