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Top Gridding Mistakes

What to Avoid to Get the Best Final Output
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The quality of your final output depends on one critical foundation: your grid. Even experienced geoscientists and engineers can run into gridding pitfalls that quietly undermine accuracy, leading to misleading contours, unrealistic surfaces, or unnecessary rework. This guide is designed to help you recognize those issues before they impact your results.

The Top Gridding Mistakes to Avoid to Get the Best Final Output breaks down the most common errors geoscientists and engineers make when gridding data and explains how to avoid them. You’ll also get an overview of various gridding methods—like Kriging, Natural Neighbor, and Minimum Curvature—along with practical guidance on when each one works best. The result? Grids that truly honor your data and lead to final outputs stakeholders confidently use for informed decision-making. 

As a bonus, this guide includes best practices and predictions about the future of gridding straight from geoprofessionals with decades of experience! With their perspective, you'll get even deeper insight on how to approach gridding today and tomorrow as emerging technologies and methods play a greater role.

Discover ways to avoid common gridding mistakes so you can create maps with realistic surfaces.

Learn practical guidance for choosing the right gridding method for different data types so you showcase insights well.

Get expert tips for handling real-world data challenges, including sparse or uneven datasets and concentration spikes.

Gain  bonus insights from seasoned geo-professionals to tackle today's grids with confidence and prepare for what's shaping tomorrow.

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A Preview of What's Inside

Here's a sneak peek of what you can expect to see inside this guide: 

  • Common Gridding Methods: Choosing the Right One for the Job
  • Common Gridding Mistakes to Avoid
  • The Present & Future Reality of Gridding: 46 Years of Insight From Professor Paulo Rosman