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Vegetation Classification and Mapping Project Report - USGS

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<strong>Vegetation</strong> <strong>Classification</strong> <strong>and</strong> Distribution <strong>Mapping</strong> <strong>Report</strong>: Petrified Forest National Park<br />

Table 11. Terminology used for accuracy assessment data collection <strong>and</strong> analysis at Petrified Forest National Park.<br />

Terminology<br />

Reference map class<br />

Sample map class<br />

Contingency table or<br />

error matrix<br />

Users accuracy<br />

Producers accuracy<br />

Overall accuracy<br />

Kappa Index<br />

Definition<br />

Map class observed in the field during accuracy assessment, considered to be the true map class.<br />

Map class assigned in the vegetation map database.<br />

A matrix where rows indicate the sample map classes <strong>and</strong> columns represent the reference map classes. At<br />

each row <strong>and</strong> column intersection, the number of observations for each sample/reference combination is<br />

noted. The vegetation map database is considered correct for all the cases where the sample map class <strong>and</strong><br />

the reference map class are the same. These observations usually occur on the diagonal on the matrix.<br />

The number of correct reference observations divided by the total number of reference observations for a<br />

map class.<br />

The number of sample map classes correctly mapped divided by the total number of reference observations<br />

made for that map class.<br />

The total number of correctly classified reference observations divided by the total number of reference<br />

observations regardless of map class.<br />

An alternate expression of overall accuracy with correction for chance correct classifications.<br />

targeted for accuracy assessment, such as<br />

a l<strong>and</strong>-cover class observed as a reference<br />

observation but not targeted as a sample,<br />

were not included in the calculation of<br />

the kappa index. Statistics were derived<br />

using the JMP v5.1 statistical application.<br />

The two-tailed, 90% confidence intervals<br />

for users, producers <strong>and</strong> overall accuracy<br />

were calculated using Score Confidence<br />

Interval Tables, which have better coverage<br />

probabilities with smaller sample, sizes<br />

(Agresti <strong>and</strong> Coull 1998).<br />

4.1.4 Group, Macrogroup, <strong>and</strong> Management<br />

Map Classes<br />

After assessment statistics were calculated<br />

for the base map classes, the SBSC team<br />

developed three aggregated map-class<br />

schemas: the group, macrogroup, <strong>and</strong><br />

management map schemas. The group<br />

map-class schema is an aggregation of<br />

base map classes based on the concept<br />

of the group level of the NVCS Version<br />

2 (Federal Geographic Data Committee<br />

2008) (see table 2). The SBSC team used<br />

the ecological-system assignments for<br />

associations developed by NatureServe<br />

as a substitute for assignment of group<br />

map class, which were not available<br />

in final form at the time this project<br />

was completed. The macrogroup is an<br />

additional midlevel grouping in the NVCS<br />

Version 2, one level of aggregation above<br />

the group.<br />

Management map classes reflect base<br />

map-class performance <strong>and</strong> resource<br />

management needs. User <strong>and</strong> producer<br />

accuracy statistics for each map class, as<br />

well as confusion among map classes as<br />

shown on the base map contingency table<br />

(see Appendix H1), were used to develop<br />

recommendations for aggregations of<br />

commonly confused <strong>and</strong> floristically or<br />

ecologically similar map classes. PEFO<br />

resource management staff reviewed these<br />

map-class recommendations at a meeting<br />

held at the park on May 17, 2007. They<br />

made recommendations for management<br />

class aggregations using management<br />

goals for particular plant communities<br />

of particular interest, regardless of their<br />

assessed accuracy performance.<br />

The SBSC team created a cross-walk<br />

between the base map classes <strong>and</strong> each<br />

aggregated map class (see Appendix F).<br />

The crosswalks were used to add the<br />

group, macrogroup, <strong>and</strong> management map<br />

classes to the map database. The team also<br />

created a crosswalk between the reference<br />

data for the accuracy assessment <strong>and</strong> the<br />

group, macrogroup, <strong>and</strong> management map<br />

classes to conduct an accuracy assessment<br />

of each aggregated map class. The number<br />

of polygons <strong>and</strong> the area of each map class<br />

within the base, group, macrogroup, <strong>and</strong><br />

management map-class schemas were<br />

calculated within a GIS.<br />

36

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