An Automated Approach for Clipping Geographic Data before Projection that Maintains Data Integrity and Minimizes Distortion for Virtually Any Projection Method
Bibliographic Data
| ID | 14701644 |
|---|---|
| Authors | Jim Graham (Cal Poly Humboldt), J H Graham (0000-0002-3725-5037, Cal Poly Humboldt, corresponding author) |
| Year | 2022 |
| Volume | 57 |
| Issue | 4 |
| Pages | 257-269 |
| Publication date | 2022-12-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Cartographica The International Journal for Geographic Information and Geovisualization (JOURNAL) |
| Journal identifiers | ISSN: 0317-7173 • E-ISSN: 1911-9925 |
| Publisher | University of Toronto Press Inc. (UTPress) (PUBLISHER) |
| DOI | 10.3138/cart-2021-0015 |
| OpenAlex | W4316036780 |
| Language | EN |
| References cited | 4 |
Selecting a map projection is key to minimizing distortion and thus clear communication of spatial data and accurate spatial analysis. Methods exist for selecting projections based on the intended area of use but not for finding polygons that can be used to clip geographic data to ensure the data are projected correctly and within desired distortion limits. The projection methods available in the Proj library were examined to determine the nature of the errors and distortions they created based on global data and a wide variety of available settings. Approaches were then identified for each projection including simple bounding boxes and more complex clipping polygons. To make sure that errors were not introduced into the projected data, data integrity polygons (DIPs) were created by placing a grid of cells over the Earth and then finding a cell near the origin that was within the specified criteria. Adjacent cells were added to the DIPs that met the criteria until no additional cells could be added. The criteria included projected cell sides could not intersect with themselves or other cells, the order of the cell corners could not be reversed, and distortion within the cell had to be within specified limits. I found that up to two DIPs with a limit on length distortion of a factor of 4 provided a general solution for all but three projection methods. Limitations included the time to find DIPs at high resolution. Clipping polygons and visualizations of the results were made available on a website
Algorithm · Bandwidth (computing · Bounding overwatch · Clipping (morphology · Distortion (music · Geometry · Grid · Projection (relational algebra · Telecommunications · 3D Modeling in Geospatial Applications · Computer Science · Geographic Information Systems Studies · Historical Geography and Cartography · Mathematics · Artificial Intelligence
| Citation velocity | historical |
|---|---|
| Highly cited | No |