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Electronic map making method and system for partitioning and cutting based on discrete data

An electronic map and discrete data technology, applied in image data processing, image enhancement, image analysis, etc., can solve the problems of lack of display range, attention, poor drawing results, etc., and achieve the effect of improving map output efficiency and high map output efficiency

Active Publication Date: 2021-01-15
山东省工程地震研究中心 +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

This technology uses computer programs that generate realistic images from different locations around us without requiring special equipment like GIS systems or maps themselves. It allows users to create custom displays based on their location rather than manually adjusting them afterwards. Additionally, it simplifies the way we import data into these screens while still maintaining good results.

Problems solved by technology

The patented technology described by this patents involves extracting feature value from space-based data without requiring manual input during analysis. However, these techniques have limitations due to factors like accuracy issues caused by human error. Additionally, previous approaches did not take advantage of the importance of different domains within the dataset itself, making them difficult to use effectively.

Method used

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  • Electronic map making method and system for partitioning and cutting based on discrete data
  • Electronic map making method and system for partitioning and cutting based on discrete data
  • Electronic map making method and system for partitioning and cutting based on discrete data

Examples

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Embodiment 1

[0047] This embodiment provides an electronic map drawing method for partitioning and clipping based on discrete data;

[0048] Such as figure 1 As shown, the electronic map mapping method based on discrete data partitioning and clipping includes:

[0049] S101: Obtain a display range based on the engineering target;

[0050]S102: Project the spatially discrete data covering the display range to the coordinate system to form a data point graph;

[0051] S103: Perform grid interpolation on the data point graphics to form a data grid file; according to the data grid file and the value of the contour sequence, generate a contour sequence graph;

[0052] S104: partition the data raster file according to the values ​​of the contour sequence to form partitioned raster data; transfer the partitioned raster data to form a partitioned surface graph;

[0053] S105: Based on the display range, clipping the data point graphics, contour sequence graphics and partition surface graphics,...

Embodiment 11

[0117] As shown in Figure 2(a) and Figure 2(b), Figure 3(a) and Figure 3(b), Figure 4 , Figure 5 , Figure 6(a) and Figure 6(b), Figure 7 As shown, this embodiment is the Quaternary formation thickness division, and the engineering target is planar. The target area is the display range without buffering. Figure 2(a) and Figure 2(b) are the source data, including the geographic location and shape of the target area (surface.shp) and the formation thickness table, the four columns of which are longitude, latitude, Tertiary thickness and Quaternary thickness . The displayed results are Quaternary thickness partitions.

[0118] Step 1. As shown in Figure 3(a) and Figure 3(b), the geographic information data is stored as a "data point.shp" point feature class file, which has the following fields: FID, shape, longitude, latitude, The thickness of the third series and the thickness of the fourth series.

[0119] Step 2. If Figure 4 As shown, kriging interpolation is performe...

Embodiment 12

[0126] As shown in Figure 9(a) and Figure 9(b), Figure 10 , Figure 11(a) and Figure 11(b) and Figure 12 As shown, this embodiment is an embodiment of land subsidence rate zoning, and the engineering target is point-shaped, which must be buffered to generate a display range.

[0127] Figure 9(a) and Figure 9(b) are the source data, including (1) the geographic location of the target area (point.shp) and (2) the subsidence rate table, the three columns of which are longitude, latitude, and subsidence rate. The results are displayed as sedimentation rate partitions.

[0128] Step 1. If Figure 10 As shown, according to the project target "point.shp", the display range "buffer.shp" is obtained. In this example, the display range is the engineering target extension buffer of 10km. This step can be realized with the buffer analysis function arcpy.Buffer_analysis() provided by the arcpy package.

[0129] Step 2. The discrete point data is stored as a "data point.shp" point feat...

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Abstract

The invention discloses an electronic map making method and system for partitioning and cutting based on discrete data, and the method comprises the steps: obtaining a display range based on an engineering target; projecting the obtained spatially discrete data covering the display range to a coordinate system to form a data point graph; performing grid interpolation on the data point graph to form a data grid file; generating a contour line sequence graph according to the data grid file and the contour line sequence value; partitioning the data raster file according to the contour line sequence value to form partitioned raster data; transferring out the partition raster data to form a partition surface graph; based on the display range, cutting the data point graph, the contour line sequence graph and the partition surface graph to generate a cut data point graph, a cut contour line graph and a cut partition surface graph in the display range; and sequentially superposing and displaying the cutting data point graph, the cutting contour line graph and the cutting partition surface graph from top to bottom to generate an electronic map in a display range.

Description

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Claims

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Application Information

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Owner 山东省工程地震研究中心
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