Computer generation of points on a plane
AuthorLee C. Wensel
Author AffiliationsLee C. Wensel was Associate Professor of Forestry, Department of Forestry and Conservation, College of Natural Resources, University of California, Berkeley, California 94720.
Hilgardia 43(5):131-142. DOI:10.3733/hilg.v43n05p131. June 1975.
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.
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