Upcoming Great Basin LCC Webinar on Pygmy Rabbit

Marjorie Matocq is presenting next Monday for the Great Basin Landscape Conservation Cooperative webinar series.  Sign up at http://greatbasinlcc.org/webinar-series .  If you can't make it there will be a recorded seminar available on YouTube in a couple of weeks.

Sarah Barga wins 2nd place in GSA poster contest

It is always great news when students win awards!  Recently Sarah Barga, an EECB Ph.D. student advised by Beth Leger, won 2nd place in UNR's Graduate Student Association student poster contest for her poster entitled "Creating maps of potential habitat for Great Basin forbs using herbarium data". I'm proud to say that I helped her get started with the Maxent modeling, but really, Sarah has done a tremendous amount of interesting work and is currently working on finalizing two manuscripts at the same time.  The maps on the right are straight off of her poster. The different colors correspond with the amount of overlap for different top models. You can view her poster by clicking HERE and her research by visiting her website HERE .

website overhaul on its way

Our lab is overhauling its website.  The old and new website will have the same URL  -https://naes.unr.edu/weisberg/ .  We're expecting the new site to be out within the next couple of weeks.  Expect an update when it is out.

New tool - Line Intercept Mapping for ArcGIS

I've got a new tool for displaying the results from line intercept mapping in GIS.  You can download that tool HERE .

Line intercept is one of the most common sampling methods of sampling in ecology. Despite its widespread popularity a lack of tools exists for automatically importing and visualizing line interrcept data in a GIS. This tool alleviates this problem making line intercept mapping easier. The tool can be run using any of the three licensed versions of ArcGIS and does not require any extensions. The tool is capable of generating overlapping line segments. The tool does not require linear referencing because transect lines are assumed straight. The tool requires that your data be in two tables: a transect coordinate table and a start-stop table. The transect coordinate table should have four fields: a TransectID, easting (or longitude for the GCS version of the tool), northing (or latitude for the GCS version of the tool), and supposed line length (length of the line as measured in the field). The start-stop table requires four fields: a TransectID, a start distance, a stop distance, and at least one field with a descriptive attribute that you are trying to map.

New paper - Bending the carbon curve: fire management for carbon resilience under climate change

Our lab has a new paper "Bending the carbon curve: fire management for carbon resilience under climate change", which is about forest management and resilience.  It suggests that active management, such fuel treatments and selecting for more drought-tolerant species, has the potential to capture and retain carbon long-term.  The article was published in Landscape Ecology with Louise Loudermilk as the first author and Rob Scheller, Peter Weisberg, and Alec Kretchun as co-authors.  You can check out their article HERE .

Comments on Prepare Rasters for Maxent versus Find ArcGIS Rasters and Project to Template in MGET

On my page for the Prepare Rasters for Maxent Tool for ArcGIS I made a comment about its application versus another tool called Find ArcGIS Rasters and Project to Template in the Marine Geospatial Ecology Toolbox.  To access that page click HERE .  Here is the text of that comment:

The Marine Geospatial Ecology Tools for ArcGIS (http://mgel.env.duke.edu/mget) is an excellent toolbox that includes much of the functionality of the Prepare Rasters for Maxent toolbox. I highly recommend checking it out. In particular, check out the Find ArcGIS Rasters and Project to Template tool which will batch project and clip all rasters to a template. One primary difference between that tool and Prepare Rasters for Maxent is that Prepare Rasters for Maxent has built-in steps to resample and fill in missing data. If you know that you have gaps in your data then Prepare Rasters for Maxent may be your best bet. If you don't think that you have gaps or they are minor then consider Find ArcGIS Rasters and Project to Template as a speedier alternative. You can create a template raster by multiplying all of your rasters together in the Raster Calculator. By default this will take the intersection of all of the rasters resulting in a template that is smaller than any one of the inputs.

Creating non-spatial and "not quite true" spatial figures in GIS

I recently was tasked with creating figures to show some variables collected along a trapping grid. The problem with these data were that the trapping locations were very close to one another yet the distance among the trapping grids was not.  As a result, it was very nearly impossible to show meaningful differences at the scale of the entire study. In the figure on the right you can see the location of the trapping grids.  Each grid had 64 stations arrayed in 16 columns and 4 rows. I've removed any geographic information that may suggest the location of this study for the sake of privacy.

The solution?  What I call a "not quite true" spatial map.  In the figure below we see that each bold box shows a trapping grid  and each smaller box is a trapping station. The colors represent the intensity of some value.  It may be the number of animals caught in the traps at the locations or some habitat variable having to do with plant cover or soil type. The reason why it is "not quite true" spatial is that distances among trapping grids is much larger than they are in real life and distances between individual traps isn't always exactly even. Nonetheless it shows spatial patterns in a succinct and compact form.

To make this map all I had to do was create relative row and column X and Y coordinates. That table was then imported into ArcMap as X and Y data. In this example there were a total of 36 rows and 48 columns. Although this workflow could have taken place using R or python I found that it was quite easy to accomplish in ArcMap.

This is a nice reminder of how GIS can be a powerful tool for all sorts of visualizations, not just for maps. Using GIS we can very easily change color schemes using different kinds of classification s (i.e. natural breaks, quantiles, equal intervals, etc.), edit individual lines and polygons, convert from raster to vector formats.  Some of this stuff is tedious to do in other types of software.

We're probably all familiar with some examples of "not quite true" spatial maps.  Subway maps are a  prime example.  They are designed to show relative space, but distance isn't always accurate in the true geographic sense.  However, we can also take raster GIS outside of the realm of normal geographic space and actually use GIS for displaying things like time series or even data space.  More on that later.