Journal of Geographical Sciences ›› 2019, Vol. 29 ›› Issue (10): 1610-1624.doi: 10.1007/s11442-019-1644-8
• Research Articles • Previous Articles Next Articles
LIAO Xiaoyong1, TAO Huan1,2,3, GONG Xuegang1,3, LI You1,3
Received:
2018-07-05
Accepted:
2018-10-31
Online:
2019-10-25
Published:
2019-12-09
About author:
Liao Xiaoyong (1977-), PhD and Professor, specialized in evaluation and remediation of soil pollution. E-mail: liaoxy@igsnrr.ac.cn
Supported by:
LIAO Xiaoyong, TAO Huan, GONG Xuegang, LI You. Exploring the database of a soil environmental survey using a geo-self-organizing map: A pilot study[J].Journal of Geographical Sciences, 2019, 29(10): 1610-1624.
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Table 1
Sample data statistics in Hechi region"
Elements | Mean (mg·kg-1) | Standard deviation (mg·kg-1) | Variation coefficient (%) | Skewness | Kurtosis | Chinese standard (mg·kg-1) | Exceeding rate (%) |
---|---|---|---|---|---|---|---|
As | 27.05 | 94.86 | 351 | 16.03 | 297.07 | 15 | 42.69 |
Cd | 1.47 | 4.11 | 280 | 9.15 | 123.09 | 0.2 | 51.85 |
Cr | 68.27 | 56.86 | 83 | 2.25 | 9.83 | 90 | 21.25 |
Hg | 0.48 | 0.72 | 150 | 5.20 | 39.84 | 0.15 | 73.88 |
Pb | 76.06 | 192.39 | 250 | 8.50 | 84.73 | 35 | 62.00 |
Table 2
Summary of SOM quality measures"
Rows | Columns | Map size | Variable | Log | Range | |||
---|---|---|---|---|---|---|---|---|
QE | TE | QE | TE | QE | TE | |||
11 | 8 | 88 | 0.47 | 0.02 | 0.62 | 0.03 | 0.04 | 0.11 |
12 | 8 | 96 | 0.46 | 0.01 | 0.60 | 0.02 | 0.04 | 0.11 |
11 | 9 | 99 | 0.45 | 0.02 | 0.60 | 0.04 | 0.04 | 0.15 |
*13 | *8 | *104 | 0.45 | 0.03 | 0.59 | 0.03 | *0.04 | *0.06 |
12 | 9 | 108 | 0.44 | 0.02 | 0.58 | 0.04 | 0.04 | 0.12 |
11 | 10 | 110 | 0.44 | 0.03 | 0.58 | 0.04 | 0.04 | 0.18 |
13 | 9 | 117 | 0.43 | 0.02 | 0.57 | 0.04 | 0.04 | 0.08 |
12 | 10 | 120 | 0.43 | 0.02 | 0.56 | 0.04 | 0.04 | 0.14 |
11 | 11 | 121 | 0.42 | 0.03 | 0.56 | 0.03 | 0.04 | 0.17 |
13 | 10 | 130 | 0.42 | 0.02 | 0.55 | 0.03 | 0.03 | 0.14 |
12 | 11 | 132 | 0.42 | 0.02 | 0.55 | 0.03 | 0.03 | 0.18 |
13 | 11 | 143 | 0.41 | 0.02 | 0.54 | 0.03 | 0.03 | 0.15 |
Table 4
SEQ for different land-use types published in 2015"
Land-use types | SEQ | Counts | CI | ||
---|---|---|---|---|---|
Level 1 | Level 2 | Level 3 | |||
Construction land | 36 (70.6%) | 12 (23.5%) | 3 (5.9%) | 51 | 1.353 |
Cropland | 167 (86.1%) | 20 (10.3%) | 7 (3.6%) | 194 | 1.175 |
Forestland | 176 (75.9%) | 50 (21.6%) | 6 (2.6%) | 232 | 1.267 |
Grassland | 34 (94.4%) | 2 (5.6%) | 0 (0%) | 36 | 1.056 |
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