Dear distance-sampling list,
I am very pleased to announce new software, training and web site releases from CREEM:
Distance for Windows 8.0
This new version of our Windows-based software is distributed with a new msi installer, which removes difficulties associated with installing the software under the latest versions of Microsoft Windows. We have also included the latest versions of the distance
sampling R packages for those using the R-based analysis engines. We recommend users of Distance for Windows download the new version, available at
https://distancesampling.org
Free online training
We have created a completely new version of our free online course “Introduction to Distance Sampling”. Content has been refreshed, lectures re-recorded and exercises updated. We have added a new chapter on mark-recapture distance sampling. The new course
is available at
https://distancesampling.org/online-course.
This easy-to-navigate course website is structured to explore distance sampling concepts from fundamental through double observer methods for estimating detectability on the transect. It is searchable so concepts can be accessed easily to serve as a refresher.
New web portal
We have refreshed and updated our web site
https://distancesampling.org. The new site works better on a variety of screen types. We have created a separate landing page for each of our R libraries (mrds, Distance, dssd, dsims and dsm), accessible by selecting
Software,
R-packages. These searchable pages contain an online manual for the package was well as a set of articles giving case studies (“vignettes”) on software usage. These case studies are also accessible from the main
distancesampling.org
page by selecting
Resources, Case studies. Each case study has tags to categorise it so users can search by category, rather than needing to know the case study they seek.
New R package versions
As previously announced, we have recently released new versions of our mrds (3.0.0) and Distance (2.0.0) R packages. These feature an improved optimization engine for conventional distance sampling. They can be downloaded from CRAN.
These developments have been funded by the UK Engineering and Physical Sciences Research Council (EPSRC) via an Impact Acceleration Account grant to the University of St Andrews. We are grateful for their support.
We hope you find these improvements useful in your distance sampling endeavours. Please get in touch with any comments or suggestions. We encourage you to pass along these web addresses to others who either use distance sampling or are new to the subject.
Best wishes,
Len Thomas and the Distance development team
--
Len Thomas (he/him)
len.t...@st-andrews.ac.uk lenthomas.org @len_thom
Centre for Research into Ecological and Environmental Modelling
and School of Mathematics and Statistics
The Observatory, University of St Andrews, Scotland KY16 9LZ
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