A Regularized Raking Estimator for Small Area Mapping from Forest Inventory Surveys

We propose a new estimator for creating expansion factors for survey plots in the USDA Forest Inventory and Analysis program. This is a regularized version of the raking estimator widely used in sample surveys. The regularized raking method differs from other predictive modeling methods for integrating survey and ancillary data in that it produces a single set of expansion factors that can have general purpose use to produce small area estimates and wall-to-wall maps of any plot characteristic. This method also differs from other more widely used survey techniques, such of GREG estimation, in that it is guaranteed to produce positive expansion factors. We extend the previous method here to include cross-validation, and provide a comparison to expansion factors between the regularized raking and ridge GREG survey calibration.

Download Full-text

A Regularized Raking Estimator for Small-Area Mapping from Forest Inventory Surveys

Forests ◽

10.3390/f10111045 ◽

2019 ◽

Vol 10 (11) ◽

pp. 1045 ◽

Cited By ~ 1

Author(s):

Nicholas N. Nagle ◽

Todd A. Schroeder ◽

Brooke Rose

Keyword(s):

Forest Inventory ◽

Small Area ◽

General Purpose ◽

Previous Method ◽

Ancillary Data ◽

Forest Inventory And Analysis ◽

Survey Techniques ◽

The Us ◽

Us Forest Service ◽

Single Set

In this paper, we propose a new estimator for creating expansion factors for survey plots in the US Forest Service (USFS) Forest Inventory and Analysis program. This estimator was previously used in the GIS literature, where it was called Penalized Maximum Entropy Dasymetric Modeling. We show here that the method is a regularized version of the raking estimator widely used in sample surveys. The regularized raking method differs from other predictive modeling methods for integrating survey and ancillary data, in that it produces a single set of expansion factors that can have a general purpose which can be used to produce small-area estimates and wall-to-wall maps of any plot characteristic. This method also differs from other more widely used survey techniques, such as GREG estimation, in that it is guaranteed to produce positive expansion factors. Here, we extend the previous method to include cross-validation, and provide a comparison to expansion factors between the regularized raking and ridge GREG survey calibration.

Download Full-text

Using satellite imagery as ancillary data for increasing the precision of estimates for the Forest Inventory and Analysis program of the USDA Forest Service

Canadian Journal of Forest Research ◽

10.1139/x05-222 ◽

2005 ◽

Vol 35 (12) ◽

pp. 2968-2980 ◽

Cited By ~ 19

Author(s):

Ronald E McRoberts ◽

Geoffrey R Holden ◽

Mark D Nelson ◽

Greg C Liknes ◽

Dale D Gormanson

Keyword(s):

Satellite Imagery ◽

Forest Inventory ◽

Forest Service ◽

Analysis Program ◽

Ancillary Data ◽

Usda Forest Service ◽

Forest Inventory And Analysis ◽

New Approach ◽

Areas Of Interest ◽

Effective Source

Forest inventory programs report estimates of forest variables for areas of interest ranging in size from municipalities, to counties, to states or provinces. Because of numerous factors, sample sizes are often insufficient to estimate attributes as precisely as is desired, unless the estimation process is enhanced using ancillary data. Classified satellite imagery has been shown to be an effective source of ancillary data that, when used with stratified estimation techniques, contributes to increased precision with little corresponding increase in cost. Stratification investigations conducted by the Forest Inventory and Analysis program of the USDA Forest Service are reviewed, and a new approach to stratification using satellite imagery is proposed. The results indicate that precision may be substantially increased for estimates of both forest area and volume per unit area.

Download Full-text

A Unique Academic–Government Collaboration Yields First Report of Detailed Habitat Description for Haemaphysalis longicornis (Ixodida: Ixodidae) in Madison County, KY

Journal of Medical Entomology ◽

10.1093/jme/tjab061 ◽

2021 ◽

Author(s):

J T Vogt ◽

B D Allen ◽

D Paulsen ◽

R T Trout Fryxell

Keyword(s):

United States ◽

Forest Inventory ◽

Forest Service ◽

Haemaphysalis Longicornis ◽

Analysis Program ◽

Ancillary Data ◽

Usda Forest Service ◽

Forest Inventory And Analysis ◽

First Report ◽

Madison County

Abstract Haemaphysalis longicornis Neumann, Asian longhorned tick, was collected in Madison County, Kentucky, United States as part of an ongoing collaborative-tick surveillance project. This is the first collection of this invasive tick that includes ancillary data on habitat and landscape features derived from the USDA Forest Service, Forest Inventory and Analysis program.

Download Full-text