Francisco Contreras, Carlos Lechuga and Martin Merino

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Team Francisco Contreras, Carlos Lechuga and
Martin Merino Objectives 1) reproduce our
previous best classification of the coasts of
Mexico in terms of LOICZs objectives 2) try it
with the world coastline
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We chose three kind of proxies and the parameters
that could work for each case As runoff
proxies Precip, ann mean Runoff, annual
mean Basin Runoff Soil Carbonate C,
As geomorphic proxies CZ Bath/Elev, std dev
of SS2 value Ocean Bath, mean SS2 value
Land Elev, mean G30 value Land Elev,
std dev of G30 values Cell Landcover,
Water Basin Landcover, Water As C, N, P,
flux proxies Soil Organic C, Cell
Landcover, Cropland Cell Landcover,
Grassland Cell Landcover, Urban and
Built-up Population, 30' cell total Basin
Landcover, Cropland Basin Landcover,
Grassland Basin Landcover, Urban and
Built-up Basin Population
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Results 1) We could get a typology that
reproduces our previous classification target 2)
However, variability was still present within our
types, as most were represented by cells of two
clusters
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Cluster Cluster 0 low STDDEV_G30VALUE, low
RUNOFF_TOTAL_ANN, low CELL_PERCNT_CROPLAND
Cluster 1 high STDDEV_G30VALUE, low
RUNOFF_TOTAL_ANN Cluster 2 medium
CELL_PERCNT_CROPLAND, low RUNOFF_TOTAL_ANN
Value Std Dev Populated Value Std Dev
Populated Value Std Dev Populated Archetype
Point 101008 -- -- 113252 -- -- 116848 -- -- Poi
nts Per Cluster 131 -- -- 21 -- -- 53 -- -- STDD
EV_G30VALUE 173.042 49.4534 99.2 563.198 70.7314
100 72.3134 89.8572 100 RUNOFF_TOTAL_ANN 140.087
216.295 96.2 1127.43 827.576 100 239.132 189.971
100 CELL_PERCNT_CROPLAND 1.03247 1.69207 100 8.5
4583 7.65228 100 19.261 3.72895 100 Cluster C
luster 3 low RUNOFF_TOTAL_ANN, low
CELL_PERCNT_CROPLAND Cluster 4 medium
STDDEV_G30VALUE, low RUNOFF_TOTAL_ANN, low
CELL_PERCNT_CROPLAND Cluster 5 medium
RUNOFF_TOTAL_ANN, low CELL_PERCNT_CROPLAND
Value Std Dev Populated Value Std Dev
Populated Value Std Dev Populated Archetype
Point 117564 -- -- 99510 -- -- 103911 -- -- Poin
ts Per Cluster 95 -- -- 56 -- -- 41 -- -- STDDEV
_G30VALUE 89.0325 62.6137 96.8 351.471 69.5229 10
0 84.172 86.4584 100 RUNOFF_TOTAL_ANN 1032.86 28
4.369 97.9 471.527 441.103 98.2 2276.4 413.827 97.
6 CELL_PERCNT_CROPLAND 0.911829 1.61392 100 3.18
674 3.58551 100 2.30703 4.62122 100 Cluster C
luster 6 high CELL_PERCNT_CROPLAND, low
RUNOFF_TOTAL_ANN Cluster 7 high
RUNOFF_TOTAL_ANN Cluster 8 low
CELL_PERCNT_CROPLAND, low RUNOFF_TOTAL_ANN
Value Std Dev Populated Value Std Dev
Populated Value Std Dev Populated Archetype
Point 96680 -- -- 111101 -- -- 73646 -- -- Point
s Per Cluster 22 -- -- 16 -- -- 73 -- -- STDDEV_
G30VALUE 55.8905 69.1968 100 35.4508 35.7994 81.2
45.8747 53.0853 100 RUNOFF_TOTAL_ANN 299.591 42
1.04 100 4892.75 745.126 50 322.041 255.67 100 CE
LL_PERCNT_CROPLAND 32.8416 6.64358 100 0.198038 0
.4784 100 8.86829 2.60714 100 Cluster Cluster
9 low STDDEV_G30VALUE, low RUNOFF_TOTAL_ANN,
low CELL_PERCNT_CROPLAND Value Std Dev
Populated Archetype Point 97365 -- -- Points
Per Cluster 379 -- -- STDDEV_G30VALUE 14.9067 2
1.7548 99.2 RUNOFF_TOTAL_ANN 213.039 198.176 81.
8 CELL_PERCNT_CROPLAND 0.734166 1.15099 100
Entire Set Value Std Dev Min Max Archetype
Point -- -- -- -- Points Per Cluster -- -- -- -
- STDDEV_G30VALUE 91.3612 126.454 0 672.35 RUNO
FF_TOTAL_ANN 502.286 736.475 0 5822 CELL_PERCNT_
CROPLAND 3.77287 7.14192 0 48.996
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