First, ciBioBase uniformly interprets acoustic signals and the output is the same regardless of the skill level of the individual collecting the data. Second, ciBioBase employs kriging to create a statistically robust uniform map output that figuratively turns Survey 1 by Bob Smith from an orange into an apple and Survey 2 by Amy Johnson in the same area from a grapefruit into an apple. This is unique to kriging which is a geostatistical procedure. All other standard interpolation methods are simply 3D representations of the input data and each map will look different depending on the precise location of your survey points. Only kriging turns different fruits into apples.
Kriging takes irregularly spaced data points and creates a smooth GIS map (also called a raster grid) based on the geostatistical properties of the input data. Generally, points close together are more related than points farther away but the precise relationship can vary from location to location. Kriging uses the actual statistical relationship of neighboring data points to make predictions in unsampled locations. Other popular methods such as Inverse-Distance-Weighted (IDW) interpolation make simple assumptions of relatedness and does not use actual data to influence predictions in unsampled locations.
Through its use of kriging, ciBioBase removes the concern of precisely following the same path from survey to survey; which is very difficult to do on moving water even for the most seasoned surveyor. Further this process can leverage passive data collection while doing other survey work, fishing, or simply enjoying a pleasure cruise and turn it into useful information for water resource management and protection (Figures 1-4).
|Figure 1. Fisheries biologists can collect fish habitat data passively while conducting electrofishing fish surveys.|
|Figure 2. Passively collect depth and vegetation abundance data while enjoying a pleasure cruise with the kids or fishing.|
|Figure 3. Result of merged ciBioBase trip path data from passive data collection (above) resulting in a uniform vegetation map (below).|
Revised ciBioBase automated summary reports
At 15 pings per second coming out of Lowrance HDS depth finders, data quickly add up and without any help, users can be drowning in data and be worse off than when they started. This issue was the topic of a previous blog post (What to do with all this data?). ciBioBase handles the data deluge by using kriging and creating automated summary reports. Our recently revised summary reports now include statistics based on coordinate point data (i.e., your trip path) and data from the bathymetric and vegetation grids created by kriging (Figure 5). When survey data collection is structured with straight transects of a uniform speed (as in the case with Figure 5), the differences between the point and grid summaries is small.
|Figure 5. ciBioBase automated summary report excerpt showing both coordinate point and kriging grid summaries|
In circumstances where lake managers are primarily interested in monitoring vegetation along standard transects, the point summaries may suit them best since the points are often uniformly spaced a part and along a straight path (Figure 6).
|Figure 6. Example automated summary report showing results from a standard transect survey. Because data lie along straight paths and are mostly uniformly spaced, point data summaries should be used.|
|Figure 8. Differences between point and grid statistical summaries when data along trip path are not uniform. In these situations, use the statistics from the uniform grid for report summaries and lake management decision making.|
A better use of your time
By automating the complexities of creating maps, ciBioBase users do not need to spend precious time and money dealing with manual data collection with survey rods and hand held GPS’s, entering data with a pencil onto a datasheet, and then figuring out how to display the data in GIS and run Geostatistics models to get a map. Before BioBase’s launch in 2011, bottom and vegetation mapping was a costly endeavor and often just wasn’t done. ciBioBase is changing the game and is empowering all citizens regardless of technical expertise with the ability to see what is below the water’s surface, how it’s changing over time, and how to best manage that change.