id stringlengths 21 35 | text stringlengths 50 1.79M |
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gis/27303_d000d3ca3c772076_59.txt | | | | | --- | --- | | Syntax | format\_number(number, [places=0], [language], [omit\_group\_separators=false], [trim\_trailing\_zeroes=false]) [] marks optional arguments | | Arguments | * **number** - number to be formatted * **places** - integer representing the number of decimal places to truncate the string to. ... |
gis/3617_b85e9d976f0b5b70_1217.txt | The Earth surface, where life develops and stands, is strongly affected by denudation which is the sum of physical erosion and chemical weathering. Denudation impacts soil formation and agriculture, affects the relief stability and, at the geological time scale, controls the atmospheric CO2 via the weathering of silica... |
gis/52502_708a4f0aeb6d7e69_86.txt | | | | | --- | --- | | **Parameter** | **Description** | | rasters | Required list of `Raster` / `ImageryLayer` objects. If a scalar is needed for the operation, the scalar can be a double. | | percentile\_value | Optional float. The percentile to calculate. The default is 90, indicating the 90th percentile. The value... |
gis/12833_97595044027efafe_594.txt | • measurement of urbanized land areas (often referred to as settlement size) (e.g., Tatem et al., 2004); • estimates derived from land-use/land-cover classification (Lo, 1995; Sutton et al., 1997; Sutton, 2003). Remote sensing techniques may provide population estimates that approach the accuracy of traditional census ... |
gis/240716_18bc285b25e14f46_77.txt | A key dataset that is missing for global flood model validation and understanding historic spatial flood vulnerability is a global historical geo-database of flood event extents. Decades of earth observing satellites and cloud computing now make it possible to not only detect floods in near real time, but to run these ... |
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