Great Post Over at Flowing Data on Histrograms…

Flowing Data is a blog I visit daily and I own and often cite both of Nathan’s books in my classes. One of his most recent tutorials focuses on histograms, their use, and their implementation in R. Seeing how size distributions (often represented by histograms) are the backbone of forestry and most quantitative ecology studies, I thought this tutorial deserves a repost. As always, you wont be disappointed in reading the post…


Interview with John Chambers

[via the Revolutions blog] – John Chambers is the creator of the S programming language (which I used during my dissertation, prior to R becoming main stream), and core member of the R programming language project. He was awarded the 1998 ACM Software System Award for developing S ($10,000) and donated his prize money to the American Statistical Association.


Advancing Forestry Education by Biting Off More than I Can Chew

DSC_0133It should come as no surprise that there is an ever-increasing demand for competent forestry graduates; especially those who able to address complex economic, ecological, and social issues involving forest resources. However, Forestry is a traditional discipline and often finds itself challenged to educate students using 21st century technology and sciences to solve these new problems.

Last semester, a senior faculty and I proposed providing forestry undergraduate students with a redesigned, senior-level course in Ecosystem Assessment that would maximize the use of mobile technology with the following course objectives: 1) students will have enhanced, forestry-centered learning opportunities in both the field and classroom, 2)these experiences will improve the way students visualize spatial and temporal aspects of a forest resources and landscapes; and 3)ensure NAU’s School of Forestry remains in the forefront of forestry education.

This Fall, in FOR 413 & 414C (Forest Ecosystem Assessment I & II) at NAU, 39 undergraduate students will be let loose carrying 20 Dell Latitude 10 tablets running Windows 8 to collect and analyze forest resource data from a 4-sq. mile area on NAU’s Centennial Forest.  These data will be collected over a five-week period using a FVS-ready Access database for tabular data and ArcPad 10.2 with the tablet’s built-in Global Navigation Satellite System (GNSS) for spatial data.

The students will use this technology to integrate material learned in prior forestry courses while learning and applying new concepts and skills focused on the interpretation of remotely sensed imagery, land records, and ownership limitations; use of geographic information systems (GIS) and field protocols for inventory of biophysical features; and simulation of potential stand development pathways.


Spatial Statistics 2013

Next week I’ll be in Columbus, Ohio attending the Second Spatial Stats conference. I’m both excited and disappointed. I’m excited to present a comprehensive overview of some of my work to an audience that could include the likes of P. Legendre, R. Bivand, or N. Cressie and I’m disappointed with how the conference has been organized. It was advertised as June 4-7th (see the banner above) but the program took forever to be finalized and we were forced to make arrangements without details. Unfortunately,  I’ll be missing much of the last day and I was looking forward to seeing J. Mateu’s talk titled “Classification and clustering in spatial and spatio-temporal point patterns”. Oh well, should be fun anyway…

If you’re there look me up and we’ll grab a beer!

Update – Here’s a link to my poster presentation.



Likelihood methods in ecology and the Cary Institute

I spent last week at the Cary Institute of Ecosystem Studies in upstate New York participating in a “Likelihood Methods in Ecology” workshop. Charlie Canham and gang were excellent hosts and the participants in the course were top notch. Now to just find the time to apply the methods learned to some of these “large” datasets I have…