UNSUPPORTED SOFTWARE: USE AT OWN RISK
krebswin: some easier-to-use
versions of programs from the text Ecological Methodology
by Charles J. Krebs
Latest version: 0.92 from 23 January, 1998
for Windows 3.1 and '95.
- Test for Difference in Means by Randomization (RANDCOMP - not from Krebs book)
REQUIRES A '386 and Windows to be running in enhanced mode!
Tests for a difference in means between samples in two categories when
samples from the same blocks are not necessarily independent.
Replaces HANNRAND from previous version.
- Calculate distances between samples/species (CALCDIST - like SIMILAR)
compute various continuous or binary measures of similarity/distance
between samples or species
- Cluster (CLUSTER - not from Krebs book)
build a cluster tree from a similarity or distance matrix using
various clustering methods such as UPGMA, WPGMA, etc.
- Fit a Distribution (NEGBINOM, POISSON, BINOM) fit a negative
binomial, poisson, or binomial distribution to quadrat count data; program
can choose "best" fitting distribution . Unfortunately, these
programs use a brain-dead way of storing distributions, with storage proportional
to the largest count, so they only work for small counts (no more than
180 or so).
- Mark Recapture (JOLLY) Jolly Seber mark-recapture analysis
- Diversity Estimates (DIVERS) various estimates of community
- Point Quarter (QUARTER) population estimation by point-quarter
- Line Transect (HAYNE) estimate a population from line transects
- Aerial Census (AERIAL) estimate a population from aerial transects.
- Accumulation and Similarity (not from the Krebs book) calculate
species accumulation and turnover with increased sample pooling
You can view the krebswin README.TXT
or download SETUP.BAT and KREBSZIP.EXE from http://www2.biology.ualberta.ca/jbrzusto/ftp/krebs/index.html.
Save these two files in the same directory, then run SETUP.BAT from Windows File Manager to
install KREBS/Win in C:\KREBS. More detailed instructions are available in README.TXT
Source code is in the archive source.zip, at the same location.