Скачать или смотреть ArcMap Raster Interpolation Techniques Explained: IDW, Kriging, Natural Neighbor | 5 |

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In this tutorial, we explore the process of generating raster datasets from point data using various interpolation methods in ArcMap/GIS. We start by understanding raw data sets and their formats, followed by utilizing pixel values of raster cells to perform different analyses. We'll demonstrate how to create surface maps from point data, using methods like IDW (Inverse Distance Weighting), Kriging, and Natural Neighbor interpolation. These techniques are essential for creating patterns and data sets for different applications like elevation maps, rainfall patterns, and noise data. Watch the video to learn step-by-step procedures for performing these analyses in ArcMap.

Chapters:
0:00:19 - Overview of Raw Data Sets
0:00:28 - Analyzing Raw Data Using Pixel Values
0:00:46 - Creating Surface Maps from Point Data
0:01:08 - Interpolation Methods in ArcMap/GIS
0:01:26 - Explanation of Interpolation
0:01:46 - Example: Weather Monitoring Station Data
0:03:04 - Using Spatial Analysis Tools for Interpolation
0:03:23 - IDW (Inverse Distance Weighting) Method
0:04:23 - Kriging Method
0:05:17 - Natural Neighbor Method


#IDW #Kriging #NaturalNeighbor


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