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. 2019 Jun 27;6:101. doi: 10.1038/s41597-019-0084-8

Table 4.

Spatial validation of DPI maps.

Recent and Potential Development Data Data Type Data Spatial Extent Sample Size DPI Overlap (% total)
Very high High Med- high Med- low Low Very low None
CSP Plants123 Points North America 5

4

(80%)

0

(0%)

0

(0%)

0

(0%)

0

(0%)

0

(0%)

1

(20%)

PV Plants123 Points North America 2,238

124

(6%)

488

(22%)

1,446

(64%)

115

(5%)

1

(0%)

0

(0%)

65

(3%)

Large PV Plants123

(i.e., capacity >=20 MW)

Points North America 483

71

(15%)

173

(36%)

225

(47%)

13

(3%)

0

(0%)

0

(0%)

1

(0%)

Wind Farms123 Points North America 411

175

(43%)

171

(42%)

37

(9%)

2

(0%)

1

(0%)

0

(0%)

25

(6%)

Hydropower124 Points Global 2,231

457

(20%)

511

(23%)

637

(29%)

316

(14%)

169

(8%)

141

(6%)

NA

Large Hydropower124

(i.e., capacity >=30 MW)

Points Global 946

284

(30%)

197

(21%)

233

(25%)

140

(15%)

51

(5%)

41

(4%)

NA
Coal Permits126 Polygons US 10,848 km2

9,458

(87%)

805

(8%)

126

(1%)

0

(0%)

0

(0%)

0

(0%)

459

(4%)

Oil and Gas Leases125 Polygons Western US 74,150 km2

32,304

(44%)

17,305

(23%)

18,404

(25%)

2,496

(3%)

120

(0%)

0

(0%)

3,521

(5%)

Mining Claims125 Polygons Western US 42,392 km2

15,430

(36%)

14,601

(35%)

9,675

(23%)

2,209

(5%)

188

(0%)

51

(0%)

256

(1%)

Crop Expansion127 Pixels Contiguous US 83,686 km2

23,819

(29%)

22,508

(27%)

15,399

(18%)

7,688

(9%)

5,941

(7%)

1,960

(2%)

6,371

(8%)

The percentage of overlap between mapped DPI classes and recent and potential development locations with information on data type, spatial extent, and sample sizes.