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Generate Maps and Graphs

After generating your analysis, you will arrive at the final pages where you can view maps and graphs for each analysis selected. At the top of the page, you can review the summary of your filtered dataset by clicking on the “Summary” text. You can hide this summary by clicking on the text.

Below the summary, you will find buttons for “Species” and “Community” analyses. Click on either one to view the Species or Community analyses. Depending on your selection, you’ll see a list of analyses available to the right. Click on the name of an analysis to view the results.

**NOTE: The analytics in Wildlife Insights are currently available to select users only. A wider release to all users will be announced in the near future. Join our community to stay up to date.

Species Detection Rates (Map View)

The detection rate is the number of independent events for a species divided by the number of trap-days (i.e. effort). The number of trap-days is calculated based on the active deployments within the starting and ending days of the analysis, or the time range provided by the user.

The Detection Rate Map View is a useful tool to explore spatial patterns in detection rates for a single species. The Detection Rate Map View reports monthly detection rates by location for a defined date range. If the date range is longer than a month, the detection rate is calculated over the number of active trap days at a certain location included in the time range considered.

Use the filters available above the map to modify your analysis. Select the species you want to analyze by clicking on the Species filter. You can also modify the independence interval, which is the time used to separate images into discrete animal events. Select from a choice of 1, 2, 30, or 60 minutes. Other filters available include a Subproject filter and a Date Range filter where you can select the start month and end month.

You can download the data underlying this map and a copy of the map by clicking the download button at the top right of the map. Select the output you’d like to download:

Monthly Detection Rates

The Monthly Detection Rate graph provides a summary of the detection rate for a species over time and is useful for exploring temporal patterns. The values in this graph can be interpreted as the number of detections you would obtain if you collect 100 camera trap days of data (spread over any number of cameras - i.e. either 1 camera per 100 days or 20 cameras per 5 days each or any other combinations that results in 100 days) in a certain month.

Specifically, the Monthly Detection Rate graph reports the expected number of detection events over 100 trap-days in each month included in the time range selected. It is estimated based on the data collected across all locations active in a specific month. The monthly number of independent events at each active deployment are weighted by the number of active trap-days at that deployment in a specific month using a generalized linear Poisson model. The expected number of detection events (over 100 trap-days) in each month are then predicted based on this model for a defined date range.

The mean is displayed by a green dot and the 95% confidence interval estimates displayed by a vertical line are the expected number of independent events per 100 trap-days.

Use the filters available above the map to modify your analysis. Select the species you want to analyze by clicking on the Species filter. You can also modify the independence interval, which is the time used to separate images into discrete animal events. Select from a choice of 1, 2, 30, or 60 minutes. Other filters available include a Subproject filter and a Date Range filter where you can select the start month and end month.

You can download the data underlying this graph and a copy of the graph by clicking the download button at the top right of the graph. The data returned will reflect the subset of data defined by the filters selected in Wildlife Insights. Select the output you’d like to download:

Single Species Activity

The activity pattern for a given species is the distribution of its activity throughout the daily 24 hour cycle.

Single Species Activity patterns are estimated using the function fitact in the R package activity (Rowcliffe, 2021). The 95% confidence intervals are built by bootstrapping (sampling 100 times from the fitted probability density distribution). The times of day of the independent events can be transformed using average anchoring (Vazquez, 2019)  by toggling the Sun time option (additional details below).

Wildlife Insights displays two Single Species Activity graphs: a line graph and a radial plot. Learn more about each visualization below.

Interpreting the Single Species Activity Line graph

Interpreting the Single Species Activity Radial plot

A radial plot shows the relative frequency in species activity for each time period.

Use the filters available above the graph or plot to modify your analysis. Select the species you want to analyze by clicking on the Species filter. You can also modify the independence interval, which is the time used to separate images into discrete animal events. Select from a choice of 1, 2, 30, or 60 minutes. Other filters available include a Subproject filter and filters for Time (Months and Years).

By default the graph is displayed using clock time (0 - 24 hours). You can view the graph or plot by solar time by toggling the Sun time option. This option applies a correction to the time of each detection event, based on the average sunrise and sunset times over the period of sampling. This correction controls for the changing sunrise and sunset times in different locations. As such, there is no fixed sunrise or sunset times, but those values depend on the period (and latitude of the locations) considered.The details of this method, called double-anchoring, are specified in Vazquez, 2019.

2 Species Activity Overlap

Two Species Activity Overlap displays the temporal overlap between pairs of species, for example, predator and prey species. Overlaps are estimated using the function overlapEst in the R package overlap (Ridout and Linkie, 2009).

Interpreting the Overlap graph

Use the filters available above the graph or plot to modify your analysis. Select the two species you want to analyze by clicking on one of the Species filters. You can also modify the independence interval, which is the time used to separate images into discrete animal events. Select from a choice of 1, 2, 30, or 60 minutes. Other filters available include a Subproject filter and filters for Time (Months and Years).

Community Detection Rates

The Community Detection Rate graph displays detection rates for all species in your filter selection. Detection Rates are estimated by pooling data across space (i.e. all deployments locations) and time (i.e. all months in the date range selected). For each species, the monthly number of independent events at each active deployment are weighted by the number of active trap-days at that deployment in a specific month using a generalized linear Poisson model. The model includes the data collected at all deployments and months over the date range selected. The overall expected number of detection events (over 100 trap-days) are then predicted based on this model for a defined date range.

The species names are displayed on the Y-axis and the detection rates on the X-axis. The mean is displayed by a green dot and the 95% confidence interval estimates displayed by a vertical line are the expected number of independent events per 100 trap-days. Hover over the green dot to view the mean and confidence intervals for the species.

On the top right of the graph you can adjust the Independence Interval and the Subprojects you wish to include in your analysis.

You can download the data underlying this graph and a copy of the graph by clicking the download button at the top right of the graph. Select the output you’d like to download: