Applied spatial data analysis with R

Roger Bivand

at 250 WPM

6h 14m

The average reader, reading at a speed of 250 WPM, would take 6h 14m to read Applied spatial data analysis with R.

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13

days at 30 min/day

374

total minutes

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Applied spatial data analysis with R

by Roger Bivand

2008

Springer

374

9780387781709

Frequently Asked Questions

How many pages are in Applied spatial data analysis with R?

This edition of Applied spatial data analysis with R has approximately 374 pages. Please note, this is an estimate and the exact page count can vary between hardcover, paperback, and e-book versions.

How long does it take to read Applied spatial data analysis with R?

For most readers, Applied spatial data analysis with R typically takes between 7h 48m and 5h 12m to complete. This is based on the book's length of approximately 93,500 words and common reading speeds.

Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 6h 14m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 13 days • Estimated word count: 93,500 words

Your individual reading time will vary based on your personal reading pace, the amount of daily reading time, and your familiarity with the subject matter.

What is the word count of Applied spatial data analysis with R?

The estimated word count for Applied spatial data analysis with R is approximately 93,500 words. This figure is calculated using industry-standard methods that consider genre-specific word density patterns, typical formatting and layout characteristics, and standard words-per-page ratios for published books.

This is an approximation — actual word count may vary based on font size, formatting, edition, and the presence of illustrations or charts.

Who is the author of Applied spatial data analysis with R?

Applied spatial data analysis with R was written by Roger Bivand.

When was Applied spatial data analysis with R published?

The publication date for this specific edition is 2008. The original work may have been published on a different date.