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Thematic Accuracy Assessment Procedures. Version 2 - USGS

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2.0 Sampling Design<br />

2.1 Sampling Design and Data Collection Objectives<br />

The sampling design (Stehman and Czaplewski 1998) for accuracy assessment within the NPS<br />

Vegetation Inventory adheres to the scientific principles that govern sampling and statistical<br />

analysis, while also striving to be practical and cost effective. Specifically, the methodology<br />

should satisfy the following objectives (Stoms et al. 1994):<br />

1. The methodology should be scientifically sound. In order to accomplish this need, the method<br />

should be repeatable, and the sampling design should permit the adequate representation of the<br />

population about which statistical inferences are to be drawn.<br />

2. The methodology should be economically feasible in view of both time and cost constraints.<br />

3. The methodology should be applicable to all areas that are part of the project. Although there<br />

may be some regional variation in the implementation of the accuracy assessment, these<br />

variations should be based on the same theoretical foundation, so that the results of individual<br />

project assessments are comparable.<br />

The objective of collecting observations for the thematic accuracy assessment is to draw<br />

inferences about the magnitude of discrepancies between the true attributes of a point or area and<br />

its representation on the map. Thus, the accuracy assessment objective contrasts with the<br />

objective of classification plots (releves), which is to provide raw data for the thorough<br />

description of vegetation types as efficiently as possible and is often accomplished by subjective<br />

sampling (Mueller-Dombois and Ellenberg 1974).<br />

With these types of objectives, the randomness of the sample sites should be emphasized, and the<br />

number of samples sites will be heavily influenced by statistical constraints.<br />

Appendix C describes an example of a sampling design in steps for Shenandoah National Park<br />

(Young et al. 2009).<br />

2.2 Observation Area (Minimum Mapping Unit) Size<br />

While the issue of observation area size is of concern for field methods (Chapter 3), it also places<br />

some constraints on the sampling design and is treated here. As stipulated in the previous<br />

chapter, the thematic accuracy assessment observation area will be equivalent in size to the size<br />

of the minimum mapping unit designated for that map class.<br />

The default (standard) minimum mapping unit (MMU) size for the NPS Vegetation Inventory is<br />

0.5 hectare. While this size suffices for many vegetation types, mappers are often able to map<br />

vegetation that occurs in smaller stands because these stands contrast well with surrounding<br />

stands in imagery. An example of this is a small herbaceous wetland that is surrounded by an<br />

upland evergreen woodland. It is often advantageous to delineate these smaller stands when they<br />

are easily recognized and reasonably few in number because: (1) they represent vegetation types<br />

important to management and (2) designating them as separate map classes can increase the<br />

accuracy of surrounding or adjoining classes. This is because these small stands then will not<br />

occur as unmapped inclusions that the field observer may fail to recognize as different and that<br />

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