| 000 | 01712nam a2200277Ia 4500 | ||
|---|---|---|---|
| 003 | OSt | ||
| 005 | 20251117142735.0 | ||
| 008 | 220909b |||||||| |||| 00| 0 eng d | ||
| 020 | _a9781439819135 | ||
| 037 | _cTextual | ||
| 040 |
_aCSL _beng _cCSL |
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| 041 | _aeng | ||
| 084 |
_aB28:(J) Q2 _qCSL |
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| 100 |
_aPlant, Richard E _eauthor _9851684 |
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| 245 | 0 | _aSpatial Data Analysis in Ecology and Agriculture Using R | |
| 260 |
_aLondon : _bCRC Press , _c2012 . |
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| 300 | _axv,631p. | ||
| 500 | _aIncluded References 599-618p.; Index 619-631p. | ||
| 520 | _aAssuming no prior knowledge of R, Spatial Data Analysis in Ecology and Agriculture Using R provides practical instruction on the use of the R programming language to analyze spatial data arising from research in ecology and agriculture. Written in terms of four data sets easily accessible online, this book guides the reader through the analysis of each data set, including setting research objectives, designing the sampling plan, data quality control, exploratory and confirmatory data analysis, and drawing scientific conclusions. Based on the author’s spatial data analysis course at the University of California, Davis, the book is intended for classroom use or self-study by graduate students and researchers in ecology, geography, and agricultural science with an interest in the analysis of spatial data. | ||
| 650 |
_aR computer program language. _9851685 |
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| 650 |
_aSpatial analysis. _9851686 |
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| 650 |
_a Spatial autocorrelation _9851687 |
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| 650 |
_aStatistics. _9851688 |
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| 942 |
_hB28:(J) Q2 _cTEXL _2CC _n0 |
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| 999 |
_c8820 _d8820 |
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