Geoscience Reference
In-Depth Information
3. Habitat is also used in connection to humankind. In this chapter the term habitat
refers to plant and animal species excluding human beings.
4. Here habitat relates to species, whereas it refers to land in the next sentence.
5. “'Science-quality' means that, in so far as both practical and possible, the errors
inherent in the overall production of [these] maps have been documented” (Estes and
Mooneyhan 1994).
6. Note that the accuracy of the geometric correction is sometimes expressed as root
mean square (RMS) error, which is the standard error (of the difference between the trans-
formed GCP s and the original GCP s) multiplied by the pixel size.
7. Each stratum has an unaligned systematic sample.
8. Type I errors have been called “consumer's risk” and type II errors “producer's risk” by
Fung and LeDrew (1988) and others. These terms are taken from a branch of statistics
called acceptance sampling. For the sake of consistency and in order to use conventional sta-
tistical terms, type I and type II errors are used here.
9. Hay (1979) noted that he developed the ideas expounded by Van Genderen and
Lock (1977).
10. The map may be generated from remotely sensed imagery or by traditional carto-
graphic methods such as aerial photograph interpretation.
11. Here scientific is used in the sense of scientific method: the recognition and formu-
lation of a problem, the collection of data through observation and experiment, and the for-
mulation and testing of the hypotheses.
Literature Cited
Adomeit, E. M., D. L. B. Jupp, C. I. Margules, and K. K. Mayo. 1981. The separation of
traditionally mapped land cover classes by Landsat data. In A. N. Gillison and D. J.
Anderson, eds., Vegetation classification in Australia, 150-165. Canberra, Australia: ANU
Press.
Agee J. K., S. C. F. Stitt, M. Nyquist, and R. Root. 1989. A geographic analysis of histori-
cal grizzly bear sightings in the North Cascades. Photographic Engineering and Remote
Sensing 55: 1637-1642.
Akçakaya, H. R. 1993. RAMAS / GIS : Linking landscape data with population viability analysis .
New York: Applied Biomathematics.
Akçakaya, H. R., M. A. McCarthy, and J. L. Pearce. 1995. Linking landscape data with
population viability analysis: Management options for the helmeted honeyeater
Lichenostomus melanops cassidix . Biological Conservation 73: 169-176.
Aldred, B. K. 1972. Point-in-polygon algorithms . Peterlee, U.K.: IBM.
Allen, A. W., P. A. Jordan, and J. W. Terrell. 1987. Habitat suitability index models: Moose,
Lake Superior region . U.S. Fish and Wildlife Service Biological Report 82.
Anderson, J. R., E. E. Hardy, J. T. Roach, and R. E. Witmer. 1976. A land use and land cover
classification system for use with remote sensor data . Washington, D.C.: U.S. Geological
Survey.
Aspinall, R. 1992. An inductive modeling procedure based on Bayes' theorem for analysis
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