Optimal spatial sampling schemes for mapping soil strength on a Southeastern US soil.

2006 ◽  
Author(s):  
Mehari Z. Tekeste ◽  
Randy L. Raper ◽  
Ernest W. Tollner ◽  
Lynne Seymour
2015 ◽  
Vol 9 (1) ◽  
pp. 097092
Author(s):  
Di Wang ◽  
Qingbo Zhou ◽  
Zhongxin Chen ◽  
Jia Liu

2008 ◽  
Vol 29 (6) ◽  
pp. 1635-1647 ◽  
Author(s):  
F. Martínez ◽  
J. Mateu ◽  
F. Montes ◽  
A. Bodas‐Salcedo** ◽  
E. López‐Baeza

2004 ◽  
Vol 11 (4) ◽  
pp. 397-414 ◽  
Author(s):  
Simone Di Zio ◽  
Lara Fontanella ◽  
Luigi Ippoliti

2016 ◽  
Vol 80 ◽  
pp. 100-112 ◽  
Author(s):  
Gang Zhao ◽  
Holger Hoffmann ◽  
Jagadeesh Yeluripati ◽  
Specka Xenia ◽  
Claas Nendel ◽  
...  

2020 ◽  
Vol 221 (Supplement_5) ◽  
pp. S499-S502
Author(s):  
Jaspreet Toor ◽  
Luc E Coffeng ◽  
Jonathan I D Hamley ◽  
Claudio Fronterre ◽  
Joaquin M Prada ◽  
...  

Abstract As neglected tropical disease programs look to consolidate the successes of moving towards elimination, we need to understand the dynamics of transmission at low prevalence to inform surveillance strategies for detecting elimination and resurgence. In this special collection, modelling insights are used to highlight drivers of local elimination, evaluate strategies for detecting resurgence, and show the importance of rational spatial sampling schemes for several neglected tropical diseases (specifically schistosomiasis, soil-transmitted helminths, lymphatic filariasis, trachoma, onchocerciasis, visceral leishmaniasis, and gambiense sleeping sickness).


1972 ◽  
Vol 4 (3) ◽  
pp. 331-345 ◽  
Author(s):  
A Rogers ◽  
R Raquillet

This paper is the concluding part of a four-part essay on quadrat analysis. It shows how quadrat analysis of spatial dispersion may be linked with Jessen's (1970) method of probability sampling with marginal constraints to produce more efficient spatial sampling schemes.


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