Computer generation of points on a plane

Wensel, L

Computer generation of points on a plane

Author

Lee C. Wensel

Author Affiliations

Lee C. Wensel was Associate Professor of Forestry, Department of Forestry and Conservation, College of Natural Resources, University of California, Berkeley, California 94720.

Publication Information

Hilgardia 43(5):131-142. DOI:10.3733/hilg.v43n05p131. June 1975.

PDF of full article, Cite this article

Abstract

A statistical model for the generation of random, contagious, and uniform spatial patterns is developed. Points are located on the plane one at a time with each point modifying the probability matrix for the next point. For random patterns no change is made in the probabilities. For contagious patterns, location of a point increases the probability of locating another point near it. However, for uniform patterns the probability of locating another point near previously established points is reduced.

Literature Cited

Aldred A. H. A planning model for forest inventories based upon combined photo and ground sampling methods 1971. Ph.D. thesis, University of California, Berkeley.

Dress P. E. A system for the stochastic simulation of even-aged forest stands of pure species composition 1970. Ph.D. thesis, Purdue University (Univ. Microfilms No. 71-2587).

Ek A. E. A comparison of some estimators in forest sampling. Forest Science. 1971. 17(1):2-13.

Hillier S., Lieberman J. Introduction to Operations Research. 1967. San Francisco: Holden-Day, Inc.

Kourtz P. H. A cost effectiveness analysis of a simulated airborne infrared forest fire detection system 1970. p.199. Ph.D. thesis, University of California, Berkeley

Kulow D. L. Comparison of forest sampling designs. J. For. 1966. 64:469-74.

Newnham R. M. The generation of artificial populations of points (spatial patterns) on a plane. Information Report FMR-X-10. 1968. Ottawa, Ontario, Canada: Forest Management Institute.

O’Regan W. G., Palley N. A computer technique for the study of forest sampling methods. Forest Science. 1965. 11(1):99-114.

Payandeh B. Comparison of methods for assessing spatial distribution of trees. Forest Science. 1970. 16(3):312-17.

Payandeh B., Paine D.P. Relative precision of two-dimensional systematic sampling as a function of nonrandomness index. Canadian Journal of Forest Research. 1971. 1:167-73. DOI: 10.1139/x71-022 [CrossRef]

Pielou E. C. An introduction to mathematical ecology. 1969. New York, N.Y.: Wiley and Sons. 286p.

Wensel L. C., John H. H. A statistical procedure for combining different types of sampling units in a forest inventory. For. Sci. 1969. 15(3):307-17.

Wensel L. C. Treatment of boundary line overlap in a forest sampling simulator. Hilgardia. 1975. 43(6):143-147. DOI: 10.3733/hilg.v43n05p143 [CrossRef]

Also in this issue:

Biological control: Major emphasis in UC research

Managing yellow starthistle on rangeland

Improving orchard soil structure and water penetration

The ‘Achilles heel’ of pistachio fruit

Verticillium wilt found in southern California alfalfa

Survey detects viruses in almond, prune, and sweet cherry orchards

Intensive grazing increases beef production

Growth regulator controls tomato transplant height

Guthion-resistant walnut aphid parasite: Release, dispersal, and recovery in orchards

Parasite tolerates other pesticides

Computerized corral feed stations for dairy cows

Tailoring Cooperative Extension programs to serve home gardeners

Several copper fungicides control olive leaf spot

Update on procedures for prospective RAWs

Treatment of boundary line overlap in a forest-sampling simulator