The use of two model fitting procedures for determining associations between four spatial variables Article

Heinen, JT. (1984). The use of two model fitting procedures for determining associations between four spatial variables . Canadian Journal of Remote Sensing, 10(1), 25-30. 10.1080/07038992.1984.10855054

cited authors

  • Heinen, JT

abstract

  • This study describes the use of the log-linear and logit model fitting procedures, which yield the best fitting model for determining associations between four spatially defined variables. These variables include (1) interspersion, (2) cover-type, (3) aspect, and (4) elevation. Interspersion is an index of habitat quality and was calculated specifically for mule deer in this study. For the area chosen for study (1542 acres in the San Juan National Forest, Colorado), both procedures indicate that interspersion is a response of all the other variables. Low interspersion values are associated with the oak cover-type, with south facing slopes, and with low elevations. The importance of this procedure as a predictive tool is discussed. © 1984 Canadian Space Agency.

authors

publication date

  • January 1, 1984

published in

Digital Object Identifier (DOI)

start page

  • 25

end page

  • 30

volume

  • 10

issue

  • 1