Sampling properties of spatial total estimators under tessellation stratified designs: Fid-Bau Portal

Fachinformationsdienst BAUdigital

A platform for research: civil engineering, architecture and urbanism

Sampling properties of spatial total estimators under tessellation stratified designs

Barabesi, L. / Franceschi, S.

Many environmental variables are continuously scattered over a region and the target parameter turns out to be the spatial total of the variable. In this setting, the design‐based approach under the continuous‐population paradigm may be conveniently considered. This design is carried out by locating sample sites according to stratified protocols based on a regular tessellation of the region. Such stratified designs are used in the field since they allow for an even sampling coverage of the study area. In this paper we show that the spatial total estimators under tessellation stratified designs are very accurate and normally distributed for large samples. Copyright © 2010 John Wiley & Sons, Ltd.

Access

Check availability in my library

Order at Subito €

Page navigation

Document information

Export, share and cite

Sampling properties of spatial total estimators under tessellation stratified designs

Barabesi, L. / Franceschi, S.

Many environmental variables are continuously scattered over a region and the target parameter turns out to be the spatial total of the variable. In this setting, the design‐based approach under the continuous‐population paradigm may be conveniently considered. This design is carried out by locating sample sites according to stratified protocols based on a regular tessellation of the region. Such stratified designs are used in the field since they allow for an even sampling coverage of the study area. In this paper we show that the spatial total estimators under tessellation stratified designs are very accurate and normally distributed for large samples. Copyright © 2010 John Wiley & Sons, Ltd.

Sampling properties of spatial total estimators under tessellation stratified designs

Barabesi, L. / Franceschi, S.

Many environmental variables are continuously scattered over a region and the target parameter turns out to be the spatial total of the variable. In this setting, the design‐based approach under the continuous‐population paradigm may be conveniently considered. This design is carried out by locating sample sites according to stratified protocols based on a regular tessellation of the region. Such stratified designs are used in the field since they allow for an even sampling coverage of the study area. In this paper we show that the spatial total estimators under tessellation stratified designs are very accurate and normally distributed for large samples. Copyright © 2010 John Wiley & Sons, Ltd.

Access

Check availability in my library

Order at Subito €

Page navigation

Document information

Export, share and cite

Document information

Title:

Sampling properties of spatial total estimators under tessellation stratified designs

Contributors:

Barabesi, L. (author) / Franceschi, S. (author)

Published in:

Environmetrics ; 22 ; 271-278

Publication date:

2011-05-01

Size:

8 pages

ISSN:

1099-095X , 1180-4009

DOI:

https://doi.org/10.1002/env.1046

Type of media:

Article (Journal)

Type of material:

Electronic Resource

Language:

English

Keywords:

continuous population , spatial sampling strategies , design‐based inference

Similar titles

Sampling properties of spatial total estimators under tessellation stratified designs

Barabesi, L. | Online Contents | 2011

Sampling Designs and Estimators for Monitoring Vehicle Characteristics Under Limited Inspection Capacity

Kinateder, J. G. / McMillan, N. J. / Orban, J. E. et al. | British Library Online Contents | 1997

Sampling Designs and Estimators for Monitoring Vehicle Characteristics Under Limited Inspection Capacity

Kinateder, J. G. / McMillan, N. J. / Orban, J. E. et al. | British Library Conference Proceedings | 1997

Taxonomy of space tessellation

Lee, Y.C. | Online Contents | 2000

Optimal Sampling Designs for Dependent Spatial Units

Benedetti, R. | Online Contents | 1995