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This study extends current work on strategic framing into strategic decision making associated with regional economic development. Regional government decision makers deploy strategic management steps including interpretation of internal/external task environment, choosing possible strategies, and implementing them towards advancing the interests of their communities. Viewing their strategies through a Dynamic Capabilities perspective, we analyze the Comprehensive Economic Development Strategies (CEDS) of 91 counties in the Pacific Northwest and factors associated with rural and metro regional development. Results suggest a negative relationship between rurality, but no relationship with median home value, and the Sensing and Seizing components of DC’s when controlling for income. 

Visualizations often encode numeric data using sequential and diverging color ramps. Effective ramps use colors that are sufficiently discriminable, align well with the data, and are aesthetically pleasing. Designers rely on years of experience to create high-quality color ramps. However, it is challenging for novice visualization developers that lack this experience to craft effective ramps as most guidelines for constructing ramps are loosely defined qualitative heuristics that are often difficult to apply. Our goal is to enable visualization developers to readily create effective color encodings using a single seed color. We do this using an algorithmic approach that models designer practices by analyzing patterns in the structure of designer-crafted color ramps. We construct these models from a corpus of 222 expert-designed color ramps, and use the results to automatically generate ramps that mimic designer practices. We evaluate our approach through an empirical study comparing the outputs of our approach with designer-crafted color ramps. Our models produce ramps that support accurate and aesthetically pleasing visualizations at least as well as designer ramps and that outperform conventional mathematical approaches.