The method of logistic regression was used to model the observed geographic
al distribution patterns of bird species in Swaziland in relation to a set
of environmental variables. Reporting rates derived from bird atlas data ar
e used as an index of population densities. This is justified in part by th
e success of the modelling process. For each species the variables which we
re significantly related to its distribution were identified. Various metho
ds for coding environmental variables from maps were investigated. A jack-k
nifing technique was used to demonstrate the predictive power of the logist
ic models. A criterion for assessing the goodness of fit of the logistic mo
dels was derived.