LIAO Shunbao, BAI Zhongqiang, BAI Yan. Errors Prediction for Vector-to-Raster Conversion Based on Map Load and Cell Size[J]. Chinese Geographical Science, 2012, 22(6): 695-704.
Citation: LIAO Shunbao, BAI Zhongqiang, BAI Yan. Errors Prediction for Vector-to-Raster Conversion Based on Map Load and Cell Size[J]. Chinese Geographical Science, 2012, 22(6): 695-704.

Errors Prediction for Vector-to-Raster Conversion Based on Map Load and Cell Size

  • Publish Date: 2012-11-05
  • Vector-to-raster conversion is a process accompanied with errors. The errors are classified into predicted errors before rasterization and actual errors after that. Accurate prediction of the errors is beneficial to developing reasonable rasterization technical schemes and to making products of high quality. Analyzing and establishing a quantitative relationship between the error and its affecting factors is the key to error prediction. In this study, land cover data of China at a scale of 1∶250 000 were taken as an example for analyzing the relationship between rasterization errors and the density of arc length (DA), the density of polygon (DP) and the size of grid cells (SG). Significant correlations were found between the errors and DA, DP and SG. The correlation coefficient (R2) of a model established based on samples collected in a small region (Beijing) reaches 0.95, and the value of R2 is equal to 0.91 while the model was validated with samples from the whole nation. On the other hand, the R2 of a model established based on nationwide samples reaches 0.96, and R2 is equal to 0.91 while it was validated with the samples in Beijing. These models depict well the relationships between rasterization errors and their affecting factors (DA, DP and SG). The analyzing method established in this study can be applied to effectively predicting rasterization errors in other cases as well.
  • 加载中
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Article Metrics

Article views(716) PDF downloads(2372) Cited by()

Proportional views
Related

Errors Prediction for Vector-to-Raster Conversion Based on Map Load and Cell Size

Abstract: Vector-to-raster conversion is a process accompanied with errors. The errors are classified into predicted errors before rasterization and actual errors after that. Accurate prediction of the errors is beneficial to developing reasonable rasterization technical schemes and to making products of high quality. Analyzing and establishing a quantitative relationship between the error and its affecting factors is the key to error prediction. In this study, land cover data of China at a scale of 1∶250 000 were taken as an example for analyzing the relationship between rasterization errors and the density of arc length (DA), the density of polygon (DP) and the size of grid cells (SG). Significant correlations were found between the errors and DA, DP and SG. The correlation coefficient (R2) of a model established based on samples collected in a small region (Beijing) reaches 0.95, and the value of R2 is equal to 0.91 while the model was validated with samples from the whole nation. On the other hand, the R2 of a model established based on nationwide samples reaches 0.96, and R2 is equal to 0.91 while it was validated with the samples in Beijing. These models depict well the relationships between rasterization errors and their affecting factors (DA, DP and SG). The analyzing method established in this study can be applied to effectively predicting rasterization errors in other cases as well.

LIAO Shunbao, BAI Zhongqiang, BAI Yan. Errors Prediction for Vector-to-Raster Conversion Based on Map Load and Cell Size[J]. Chinese Geographical Science, 2012, 22(6): 695-704.
Citation: LIAO Shunbao, BAI Zhongqiang, BAI Yan. Errors Prediction for Vector-to-Raster Conversion Based on Map Load and Cell Size[J]. Chinese Geographical Science, 2012, 22(6): 695-704.

Catalog

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return