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In this work we demonstrate the advantages of a hybrid spatial sampling approach that combines a single conventional transect with a systematic grid of observations.
Using a systematic grid of 15 km (requiring approximately 3400 1-ha plots) as the training dataset for a random forest model, 63 % of the country is still inaccurately estimated.
Such a set of solutions was created by the specification of a systematic grid of goal programming weights, enabling the decision maker to choose the solution that achieves the desired trade-off level.
We used co-occurrence patterns of 1090 plant species recorded in the French Mediterranean region of Languedoc-Roussillon in a systematic grid of 1225 5 × 5 km atlas cells to estimate species specialization.
Mineral soil samples were collected on a systematic grid of twelve points across the plot (although sometimes conditions required collecting fewer cores), with a slide impact hammer corer following the methods used by the US Forest Service Forest Inventory and Analysis Program [29].
Mineral soil samples were collected on a systematic grid of twelve points across the plot (although sometimes conditions required collecting fewer cores), with a slide impact hammer corer following the methods used by the US Forest Service Forest Inventory and Analysis Program [ 29].
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Even for systematic grids of larger spatial grains, estimates tended to stay within the 10 % threshold, with just a few of the large grid sizes falling outside that range.
The stratify-and-multiply approach [18] uses remote sensing data to partition a country by land cover, climate, or other environmental (or biogeochemical) strata, or uses a regular (systematic) grid in place of partitioning by strata.
We quantified the abundance and demography of Ailanthus, as well as prescribed fire, harvesting, aspect, slope, and available light, using a systematic grid (400 m) of sample plots (N = 267).
The total number of grid cells in a systematic grid represents the number of field plots needed to create the estimated ACD map.
The G-BASE soil sampling of Greater Glasgow (including Paisley, East Kilbride and Dumbarton) was carried out between 2001 and 2002, whereby 1,381 urban soil samples were collected on a systematic grid at a density of 4 per km, whilst 241 rural soil samples were collected from the outskirts of Glasgow from every second km.
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