Creating randomly spread points

The XTools Pro Random Sampling Points tool generates random points within specified polygons.

Users can manage the number per constraining feature and distribution of points:

• Random
  Constraining features are randomly filled with points.
• Quasi-random
  Constraining features are filled with the points not randomly but based on a regular grid. The sampling randomization level is specified in percent from 0 to 100. Higher sampling randomization level results in higher deviation from the regularity level. At 100% the regularity of sampling points is not visible.

Random sampling is essential for ensuring unbiased data collection and analysis:

• conducting unbiased surveys of flora and fauna within a study area. This method helps researchers collect data on species distribution, density, and habitat conditions without systematic bias.
• determining locations for soil and water sampling. It ensures a representative analysis of environmental conditions across a landscape, which is critical for pollution assessment and land management planning.
• selecting locations for conducting surveys and collecting public opinion data. This method ensures a diverse and representative sample of the population, which is essential for accurate social and economic research.