ours: A table of Qualitative Variables

In ade4: Analysis of Ecological Data : Exploratory and Euclidean Methods in Environmental Sciences

Description

The ours (bears) data frame has 38 rows, areas of the "Inventaire National Forestier", and 10 columns.

Usage

data(ours)

Format

This data frame contains the following columns:

1. altit: importance of the altitudinal area inhabited by bears, a factor with levels:

   • 1 less than 50% of the area between 800 and 2000 meters

   • 2 between 50 and 70%

   • 3 more than 70%

2. deniv: importance of the average variation in level by square of 50 km2, a factor with levels:

   • 1 less than 700m

   • 2 between 700 and 900 m

   • 3 more than 900 m

3. cloiso: partitioning of the massif, a factor with levels:

   • 1 a great valley or a ridge isolates at least a quarter of the massif

   • 2 less than a quarter of the massif is isolated

   • 3 the massif has no split

4. domain: importance of the national forests on contact with the massif, a factor with levels:

   • 1 less than 400 km2

   • 2 between 400 and 1000 km2

   • 3 more than 1000 km2

5. boise: rate of afforestation, a factor with levels:

   • 1 less than 30%

   • 2 between 30 and 50%

   • 3 more than 50%

6. hetra: importance of plantations and mixed forests, a factor with levels:

   • 1 less than 5%

   • 2 between 5 and 10%

   • 3 more than 10% of the massif

7. favor: importance of favorable forests, plantations, mixed forests, fir plantations, a factor with levels:

   • 1 less than 5%

   • 2 between 5 and 10%

   • 3 more than 10% of the massif

8. inexp: importance of unworked forests, a factor with levels:

   • 1 less than 4%

   • 2 between 4 and 8%

   • 3 more than 8% of the total area

9. citat: presence of the bear before its disappearance, a factor with levels:

   • 1 no quotation since 1840

   • 2 1 to 3 quotations before 1900 and none after

   • 3 4 quotations before 1900 and none after

   • 4 at least 4 quotations before 1900 and at least 1 quotation between 1900 and 1940

10. depart: district, a factor with levels:

    • AHP Alpes-de-Haute-Provence

    • AM Alpes-Maritimes

    • D Drôme

    • HP Hautes-Alpes

    • HS Haute-Savoie

    • I Isère

    • S Savoie

Source

Erome, G. (1989) L'ours brun dans les Alpes françaises. Historique de sa disparition. Centre Ornithologique Rhône-Alpes, Villeurbanne. 120 p.

Examples

data(ours)
if(adegraphicsLoaded()) {
  s1d.boxplot(dudi.acm(ours, scan = FALSE)$l1[, 1], ours)
} else {
  boxplot(dudi.acm(ours, scan = FALSE))
}

Example output

ade4 documentation built on May 2, 2019, 5:50 p.m.