GeoTIFFs for 'Global linkages between climate variability and the terrestrial biosphere' International Journal of Applied Earth Observations and Geoinformation, accepted

2018-03-12T15:20:23Z (GMT) by Kyla Dahlin Toby Ault
These are the geoTIFFs behind the map-based figures in the article and supplement for Dahlin & Ault 2018 'Global linkages between climate variability and the terrestrial biosphere' International Journal of Applied Earth Observations and Geoinformation. Accepted 20180226. <div><br></div><div>See paper for more details.<br><div><br></div><div><div>All figs are </div><div>- global (lat -90 to 90, lon -180 to 180) geoTIFFs</div><div>- 0.25 x 0.25 degree resolution</div><div>- GCS WGS 1984</div><div><br></div><div>Correlation figs (Fig01 and b, d, & f of supplement figs) are</div><div>- floating point</div><div>- correlation (Pearson's R) values range up to -1 to 1</div><div>- No data values are NA/NoData</div></div><div><br></div><div>Correlation temporal location figs (Fig03 and a, c, & e of supplement figs) are</div><div><br></div><div>- unsigned integers</div><div><div>- No data values are NA/NoData</div><div>- note there are no significant R2s ranging from 0-0.1 so these are not included</div><div>- unsigned integers correspond to the following table (csv):</div><div>integer value,month,coefficient of determination range</div><div>1,JAN,>= 0.4</div><div>2,JAN,0.325-0.4</div><div>3,JAN,0.25-0.325</div><div>4,JAN,0.175-0.25</div><div>5,JAN,0.1-0.175</div><div>7,FEB,>= 0.4</div><div>8,FEB,0.325-0.4</div><div>9,FEB,0.25-0.325</div><div>10,FEB,0.175-0.25</div><div>11,FEB,0.1-0.175</div><div>13,MAR,>= 0.4</div><div>14,MAR,0.325-0.4</div><div>15,MAR,0.25-0.325</div><div>16,MAR,0.175-0.25</div><div>17,MAR,0.1-0.175</div><div>19,APR,>= 0.4</div><div>20,APR,0.325-0.4</div><div>21,APR,0.25-0.325</div><div>22,APR,0.175-0.25</div><div>23,APR,0.1-0.175</div><div>25,MAY,>= 0.4</div><div>26,MAY,0.325-0.4</div><div>27,MAY,0.25-0.325</div><div>28,MAY,0.175-0.25</div><div>29,MAY,0.1-0.175</div><div>31,JUN,>= 0.4</div><div>32,JUN,0.325-0.4</div><div>33,JUN,0.25-0.325</div><div>34,JUN,0.175-0.25</div><div>35,JUN,0.1-0.175</div><div>37,JUL,>= 0.4</div><div>38,JUL,0.325-0.4</div><div>39,JUL,0.25-0.325</div><div>40,JUL,0.175-0.25</div><div>41,JUL,0.1-0.175</div><div>43,AUG,>= 0.4</div><div>44,AUG,0.325-0.4</div><div>45,AUG,0.25-0.325</div><div>46,AUG,0.175-0.25</div><div>47,AUG,0.1-0.175</div><div>49,SEP,>= 0.4</div><div>50,SEP,0.325-0.4</div><div>51,SEP,0.25-0.325</div><div>52,SEP,0.175-0.25</div><div>53,SEP,0.1-0.175</div><div>55,OCT,>= 0.4</div><div>56,OCT,0.325-0.4</div><div>57,OCT,0.25-0.325</div><div>58,OCT,0.175-0.25</div><div>59,OCT,0.1-0.175</div><div>61,NOV,>= 0.4</div><div>62,NOV,0.325-0.4</div><div>63,NOV,0.25-0.325</div><div>64,NOV,0.175-0.25</div><div>65,NOV,0.1-0.175</div><div>67,DEC,>= 0.4</div><div>68,DEC,0.325-0.4</div><div>69,DEC,0.25-0.325</div><div>70,DEC,0.175-0.25</div><div>71,DEC,0.1-0.175</div></div><div><br></div><div><br></div></div>