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  2. Ground sample distance - Wikipedia

    en.wikipedia.org/wiki/Ground_sample_distance

    For example, in an image with a one-meter GSD, adjacent pixels image locations are 1 meter apart on the ground. [1] GSD is a measure of one limitation to spatial resolution or image resolution, that is, the limitation due to sampling. [2] GSD is also referred to as ground-projected sample interval (GSI) and is related to the ground-projected ...

  3. Distance sampling - Wikipedia

    en.wikipedia.org/wiki/Distance_sampling

    This allows calculation of object distance to the transect (x). All x from the survey are used to model how detectability decreases with distance from the transect, which allows estimation of total population density in the surveyed area. A common approach to distance sampling is the use of line transects.

  4. Two-ray ground-reflection model - Wikipedia

    en.wikipedia.org/wiki/Two-ray_ground-reflection...

    The 2-ray ground reflected model may be thought as a case of multi-slope model with break point at critical distance with slope 20 dB/decade before critical distance and slope of 40 dB/decade after the critical distance. Using the free-space and two-ray model above, the propagation path loss can be expressed as

  5. Vincenty's formulae - Wikipedia

    en.wikipedia.org/wiki/Vincenty's_formulae

    Vincenty's goal was to express existing algorithms for geodesics on an ellipsoid in a form that minimized the program length (Vincenty 1975a). His unpublished report (1975b) mentions the use of a Wang 720 desk calculator, which had only a few kilobytes of memory.

  6. Pivot table - Wikipedia

    en.wikipedia.org/wiki/Pivot_table

    For example, in Microsoft Excel one must first select the entire data in the original table and then go to the Insert tab and select "Pivot Table" (or "Pivot Chart"). The user then has the option of either inserting the pivot table into an existing sheet or creating a new sheet to house the pivot table.

  7. Statistical distance - Wikipedia

    en.wikipedia.org/wiki/Statistical_distance

    A metric on a set X is a function (called the distance function or simply distance) d : X × X → R + (where R + is the set of non-negative real numbers). For all x, y, z in X, this function is required to satisfy the following conditions: d(x, y) ≥ 0 (non-negativity) d(x, y) = 0 if and only if x = y (identity of indiscernibles.

  8. Simple linear regression - Wikipedia

    en.wikipedia.org/wiki/Simple_linear_regression

    However, those formulas do not tell us how precise the estimates are, i.e., how much the estimators ^ and ^ vary from sample to sample for the specified sample size. Confidence intervals were devised to give a plausible set of values to the estimates one might have if one repeated the experiment a very large number of times.

  9. Earth mover's distance - Wikipedia

    en.wikipedia.org/wiki/Earth_mover's_distance

    C++ and Matlab and Java wrappers code for the Earth Mover's Distance, especially efficient for thresholded ground distances; Java implementation of a generic generator for evaluating large-scale Earth Mover's Distance based similarity analysis; Demonstration of Minkowski additivity, convex monotonicity, and other properties of the Earth Movers ...