The phrase "a point dataset" is correct and usable in written English.
It can be used in contexts related to data analysis, statistics, or geographic information systems where you are referring to a collection of data points.
Example: "The researchers compiled a point dataset to analyze the distribution of species across the region."
Alternatives: "a point data collection" or "a point data set".
We evaluated the suitability and performance of boosted regression trees (BRT) as a potential technique for soil mapping using a limited point dataset in an arid region of Iran.
This approach is simple and tackles a serious disadvantage of the simple kernel estimate with a fixed bandwidth: for a spatially clustered point dataset, a small bandwidth gives a noisy or variable estimate for the sparsely populated area, while a large bandwidth mixes up the boundaries between the densely populated areas and the sparsely populated areas.
By performing a comprehensive comparison among OGMH, UR1, UR2 and a standard R-tree on US Census Bureau TIGER/Line® Southern California landmark point dataset, it is found that UR1 is the best for certain queries.
The size of the point dataset depends on the density of the points sampled from the Connolly surface of a protein.
The matrix is obtained by the characteristic matrix, the crowd transfer starting point dataset, and the filter input set.
We discuss how to factor such point datasets into a set of source vertices and transformation streams by identifying the most common translations amongst vertices.
A wide array of deterministic and geostatistical interpolation techniques can be used to derive grid-based land use intensity metrics from such point datasets (for a review see [ 36]).
Dense RGB-D SLAM techniques and high-fidelity LIDAR scanners are examples from an abundant set of systems capable of providing multi-million point datasets.
It required using various evidential datalayers (quaternary geology, slope and aerogeophysics) and point datasets (i.e. soil profiles) and enabled the creation of probability maps for a.s.s
We introduce the idea of creating vertex and transformation streams that represent large point datasets via their interaction.
