The panel on the top is the average count of animals organized left-to-right from highest to lowest. But we might expect to count more animals on longer transect routes or where there is more effort (e.g. camera traps that are deployed for longer than others, more traps out to capture animals in one area compared to another, etc.). The panel on the bottom is the same count data after dividing by the route length and so represents the average count of animals per kilometer of survey length. The transects are ordered the same in both panels so note any discrepancy between the height of the bars between the two panels. The panel on the bottom is probably a better index of the true relative abundance because it controls for effort. These are the insights you get when you are able to view your data to see patterns, conduct calculations, and use statistics to turn your data into knowledge, and knowledge into impact.

Companion Animal Tools allows users have access to advanced data visualization and analysis tools to better explain the location and abundance of campanion animals and the relationships to your on-the-ground interventions, socio-economic patterns across their study area, and the local environment. Fully displaying these patterns and using advanced analysis to diagnose these relationships requires working with experts in statistical analysis. Users of Companion Animal Tools have direct access to these experts who would love to help you better understand your data so you can turn your data into knowledge, and knowledge into impact.

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