Niche Modeling: Predictions From Statistical Distributions - Chapter 4 pptx

Niche Modeling: Predictions From Statistical Distributions - Chapter 4 pptx

Niche Modeling: Predictions From Statistical Distributions - Chapter 4 pptx

... isolated from each other. 4. 3.5 Relationships There is a particular type of relationship between N and B. Every species with a non-empty range should produce a non-empty niche in the environmen- tal ... What is niche modeling? – is to study its topological properties. 4. 3 Hutchinsonian niche Historically, the quantitative basis of niche modeling lies in the Hutchinso- nian defini...
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Niche Modeling: Predictions From Statistical Distributions - Chapter 1 doc

Niche Modeling: Predictions From Statistical Distributions - Chapter 1 doc

... matrix(rnorm(16), 4, 4) [,1] [,2] [,3] [ ,4] [1,] 1.2085126 1 .43 99613 -0 .6782351 -0 .20682 14 [2,] -0 .46 76 946 -0 .62527 34 0. 845 7706 -0 . 545 6283 [3,] -0 .1882097 1. 040 2726 -0 .2805 549 0.8075877 [4, ] 0 .42 39560 ... daylight < ;- function(x) -cos(pi * x/6) > daylight(1:12) [1] -8 .660254e-01 -5 .000000e-01 -6 .123234e-17 5.000000e-01 [...
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Niche Modeling: Predictions From Statistical Distributions - Chapter 8 docx

Niche Modeling: Predictions From Statistical Distributions - Chapter 8 docx

... 1 CRU 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 1 04 105 106 −0 .4 ... 1 iid 1 2 3 4 5 6 7 8 9 10 11...
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Niche Modeling: Predictions From Statistical Distributions - Chapter 9 pdf

Niche Modeling: Predictions From Statistical Distributions - Chapter 9 pdf

... Group, LLC 148 Niche Modeling −0 .4 −0.2 0.0 0.2 0 .4 0.2 0.6 1.0 −0 .4 −0.2 0.0 0.2 0 .4 0.1 0 .4 0.7 −0 .4 −0.2 0.0 0.2 0 .4 0.1 0.3 0.5 −0 .4 −0.2 0.0 0.2 0 .4 0.1 0.3 0.5 −0 .4 −0.2 0.0 0.2 0 .4 0.1 0.3 ... variable. 0.0 0.2 0 .4 0.6 0.8 −0 .4 0.0 0.2 0 .4 0.6 response temperature 4 −2 0 2 4 0 200 40 0 600 800 1000 time R4 FIGURE 9.10: Reconstruction resulting from...
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Niche Modeling: Predictions From Statistical Distributions - Chapter 10 ppt

Niche Modeling: Predictions From Statistical Distributions - Chapter 10 ppt

... 0. 94 and the random walk is close to one. TABLE 10.1: Estimates of Hurst exponent for all series. names H 1 CRU 0. 94 2 J98 0.87 3 MBH99 0.87 4 MJ03 0.92 5 CL00 0.97 6 BJ00 0.87 7 BJ01 0. 84 8 ... Francis Group, LLC 1 64 Niche Modeling 0 10 20 30 40 −0.5 0.0 0.5 1.0 k ACF iid AR walk sss precip temp FIGURE 10.5: Lag 1 ACF of temperature and precipitation at time 1 to 40 with simul...
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Modeling Hydrologic Change: Statistical Methods - Chapter 1 pdf

Modeling Hydrologic Change: Statistical Methods - Chapter 1 pdf

... Problems Chapter 4 Outlier Detection 4. 1 Introduction 4. 2 Chauvenet’s Method 4. 3 Dixon–Thompson Test 4. 4 Rosner’s Outlier Test 4. 5 Log-Pearson Type III Outlier Detection: Bulletin 17b 4. 6 Pearson ... Distribution, U(α , β ) 11 .4. 2 Triangular Distribution 11 .4. 3 Normal Distribution 11 .4. 4 Lognormal Distribution 11 .4. 5 Log-Pearson Type III Distribution 11 .4. 6 Chi-Squa...
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Modeling Hydrologic Change: Statistical Methods - Chapter 2 ppsx

Modeling Hydrologic Change: Statistical Methods - Chapter 2 ppsx

... 14 0.18 28 −0. 24 42 −0 .41 1 0 .44 15 −0.03 29 −0.38 43 −0.36 2 0.19 16 −0.26 30 −0.39 44 −0.27 3 −0.08 17 −0.35 31 −0.38 45 −0.12 4 −0. 24 18 −0 .41 32 −0.23 46 0.13 5 −0. 34 19 −0.37 33 −0.03 47 ... −0. 24 34 0.21 48 0 .49 7 −0. 34 21 −0.03 35 0 .42 49 0 .49 8 −0.17 22 0.27 36 0 .47 50 0.22 9 0.01 23 0.39 37 0 .47 51 −0. 04 10 0.23 24 0 .43 38 0.20 52 −0.23 11 0.39 25...
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Modeling Hydrologic Change: Statistical Methods - Chapter 3 pdf

Modeling Hydrologic Change: Statistical Methods - Chapter 3 pdf

... TABLE 3 .4 Sample Variances 1.7 64 0.5 14 0.529 0.6 94 1.272 1. 147 1.257 2.829 1.113 0.882 0.955 0.752 1.325 0.880 1.777 0.627 0.231 1 .46 2 3.305 0.766 3. 042 0.0 24 0.5 14 0 .48 4 0 .44 5 1 .49 3 0. 248 2.033 ... 3.233 1.002 2.280 1 .40 2 0.276 1. 745 0. 945 1.318 0.613 0 .44 2 0 .42 1 1.192 χ σ 2 2 2 1 = −()nS 15/ © 2003 by CRC Press LLC Therefore, the probability of a type II erro...
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Modeling Hydrologic Change: Statistical Methods - Chapter 5 doc

Modeling Hydrologic Change: Statistical Methods - Chapter 5 doc

... 0.0169 21500 4. 33 243 8 2 0.0339 19300 4. 285557 3 0.0508 1 740 0 4. 240 549 4 0.0678 1 740 0 4. 240 549 5 0.0 847 15200 4. 181 844 6 0.1017 146 00 4. 1 643 53 7 0.1186 13700 4. 136721 8 0.1356 13500 4. 1303 34 9 0.1525 ... 13300 4. 123852 10 0.1695 13200 4. 1205 74 11 0.18 64 12900 4. 110590 12 0.20 34 11600 4. 0 644 58 13 0.2203 11100 4. 045 323 14 0.2373 1 040 0 4....
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Modeling Hydrologic Change: Statistical Methods - Chapter 6 pps

Modeling Hydrologic Change: Statistical Methods - Chapter 6 pps

... 5.28 5.82 4. 90 3.31 4. 97 3.99 4. 52 4. 81 6.65 3.35 5.35 3.86 4. 95 5.50 3.65 4. 31 4. 58 2.12 3.51 4. 42 2.91 2 .42 3.88 5. 34 4.17 4. 55 3.25 3 .41 2. 24 2.13 4. 68 4. 54 5 .47 4. 57 3.23 4. 66 3 .42 L1600_Frame_C06 ... moving-average filtered series for annual-maximum peak discharges and associated event rainfall. 4. 05 5. 04 3.89 3.88 5 .40 3.61 3.78 4. 42 4. 23 3 ....
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