Crate street_index

street_index

This library contains utility functions for generating a street index. How it works is fairly simple: You give it a grid (right now limited to a rectangular grid) on a page, and add StreetNameRects. Each StreetNameRect contains the String for the street / road name as well as the extents of the laid out String on the map.

The Grid takes care of assigning a grid position to your street name such as "Canterbury Road => A2". Since usually maps have the problem of having duplicated road names (which is not what you'd want in a street index), you can create a DeduplicatedRoadNames::from_streets, which will deduplicate all road names.

The problem generally arises when street names are ambigouus. For example, a street that appears in two locations on the map (such as a city having the same street name as a neighbouring city). Because of this, street name processing can't be fully automated, since there are always weird edge cases to worry about. However, 90% of roads aren't like that.

Because of this limitation DeduplicatedRoadNames::process() gives you two types of roads back: ProcessedRoadName is for roads that span only 1 or 2 grid cells (i.e. "Canterbury Road" => A9, "Canterbury Road" => A9-A10). In these cases (which cover 90% of street index names), the mapping is not ambigouus.

UnprocessedRoadName is for anything else (e.g. "Canterbury Road" => [A9, A10, E1, E2]. Usually these roads need to be manually reviewed - it could likely be that there are two roads "Canterbury Road" => A9-10;E1-E2, but it could also be that the road is just one road and part of it is just clipped off the map, in which case you'd write "Canterbury Road" => A9-E2.

For cartographic purposes, usually you want the output in CSV format, so that your graphic designer can paste the street index into InDesign / Illustrator for the final map layout. Both UnprocessedRoads and ProcessedRoads have a simple .to_csv function for easy export.

Example

extern crate street_index;
 
use street_index::prelude::*;
 
fn main() {
    // Create a grid, with the page extensions being 200 x 200 millimeter
    // Each cell is 20x20 millimeter large (usually 50x50 is recommended, though)
    let mut grid = Grid::new(
            Bbox { 
                width: Millimeter(200.0), 
                height: Millimeter(200.0) 
            },
            GridConfig {
                cell_width: Millimeter(20.0),
                cell_height: Millimeter(20.0),
            });
 
    // You will have to calculate the street name boundaries yourself, i.e. 
    // using FreeType or RustType. Often times this will come as a side-effect 
    // of your map rendering / layouting program.
    //
    // The position is relative to the top left of the grid.
    grid.insert_street(StreetNameRect {
        street_name: String::from("Canterbury Road"),
        x_from_left: Millimeter(30.0),
        width: Millimeter(50.0),
        y_from_top: Millimeter(30.0),
        height: Millimeter(8.0),
    });
 
    // We deduplicate the roads, i.e.:
    //
    // ```
    // "Canterbury Road" => A3
    // "Canterbury Road" => A4
    // ```
    // 
    // becomes:
    // 
    // ```
    // "Canterbury Road" => [A3, A4]
    // ```
    let deduplicated = DeduplicatedRoads::from_streets(&grid.street_names());
 
    // As described above, we get both processed and unprocessed 
    // road names back
    let (processed, unprocessed) = deduplicated.process();
 
    // In this case, "Canterbury Road" spans from B1-B2, so we get a 
    // `ProcessedRoad` back, delimited by a TAB character.
    // 
    // You can then write this to a CSV file if you want.
    println!("processed:\r\n{}", processed.to_csv("\t"));
    println!("unprocessed:\r\n{}", unprocessed.to_csv("\t"));
}

License

This library is licensed under the MIT license.

Modules

gridconfig	Module for configuring the grid and assigning cell positions to road names
prelude	Quick re-exports for wildcard imports
roads2csv	Module for deduplicating road names and exporting / processing them to CSV Converts input roads to a final CSV