Spatial Analysis is an analysis technology of Spatial Data based on the location and shape of geographic objects, and its purpose is to extract and transmit Spatial Info. Powerful Spatial Analysis capability is the main feature of GIS.
Spatial Data can be divided into two types: Vector Data and Raster Data. The Spatial Analysis function of GIS can be divided into Spatial Analysis for Vector Data and Spatial Analysis for Raster Data.
Vector Analysis
Vector Analysis features include Buffer Zone Analysis, Overlay Analysis, and Dynamic Segmentation.
- Buffer Zone Analysis
- Overlay Analysis
- Dynamic Segmentation
Buffer Zone Analysis is an analysis method that automatically creates an area of a certain width around a point, line, or Region based on a specified distance.
Overlay Analysis is to superimpose each Dataset representing different subjects to generate a New Dataset. The result of Overlay Analysis integrates the attributes of the elements of two or more layers.
It is used to introduce the principles and concepts of Dynamic Segmentation, the general process, the creation of routes, Calibrate Route, the creation of event tables, and the management of the relationship between routes and event tables in Dynamic Segmentation.
Raster Analysis
The structure of Raster Data is simple and intuitive, and it is very convenient for computer operation and processing. It is a commonly used spatial basic data format in GIS. Spatial Analysis based on Raster Data is an important foundation of GIS Spatial Analysis.
The Raster Analysis function of Application includes: Environment Settings for Raster Analysis, Surface Analysis, Raster Statistics, Vector-Raster Conversion, Distance Raster, Interpolation Analysis, Histogram, Hydrological Analysis, Mouse Query Raster Values, etc.
- Set Raster Analysis Environment
- Surface Analysis
- Raster Statistics
- Vector - Raster Conversion
- Distance Raster
- Interpolation Analysis
- Grid Histogram
- Hydrological Analysis
- Query grid values
Set the environment of subsequent Raster Analysis, including Geographic Range, Clip Bounds, Default Cell Size, etc. Of Result Dataset.
Surface Analysis is an analysis method of Based on the surface modle and obtain information or generate surface. Raster Data's Surface Analysis includes: Extract Isosurface, Extract Isosurface, etc.
Raster Statistics provides a variety of Statistical Methods to count the pixel values of Raster Data.
Vector-Raster Conversion is used to realize the conversion between Vector and Raster Data, and to refine the raster.
The Distance Raster function is used to calculate the distance from each pixel to the neighboring pixels (source), including Spatial distance and cost distance. The Distance Raster provided by Application can calculate various distances such as distance, Shortest Path, and distance consumption.
In the practical application of GIS, it is often necessary to calculate the value of unsampled points through the value of sampled points, which is the process of Grid interpolation. The result of the interpolation will be a continuous surface on which the value of each point can be obtained.
Describes how to use histograms to make statistics on Raster Data.
Hydrological Analysis Help We understand the hydrological characteristics of Raster Data. You can perform Fill Sinks, Calculate Flow Direction, Calculate Flow Length, calculate Cumulative Flow Accumulation, extract river networks, and more to help you understand the hydrology of the grid surface.
Query the grid value where the mouse is located. The query information includes the Datasource, Dataset, coordinate value, row and column number, and grid value where the grid cell is located.