transformation – Problem transforming projection on outlying features from shapefile – Geographic Information Systems Stack Exchange

I am fairly new to GIS data and as such please feel free to ask for extra data I might not have provided. I have some regional data from Natural Earth, more specifically this: (States and Provinces, first download). This uses a longlat-projection, which I wish to turn into a miller projection. However, several of the regions get 'mangled' by the transformation. It seems to only affect those sitting at the border of the map (far west / far east), more specifically: (In the format 'Country - Region name') Antarctica - ATA-00 (Antarctica aggregation) Brazil - Goiás Fiji - Northern Russia - Chukchi Autonomous Okrug Zambia - Eastern If I manually go in and edit the nodes touching the edge, it seems to fix the problem. However, I am trying to automate the process, so I can automatically generate new data from the shapefile when a new release is made. Is there any smart way of overcoming this issue? The error presents itself as if the feature is trying to combine all the polygons into one, drawing ugly lines across the entire map to connect them. An example can be seen here: (taken from QGIS). The result is the same whether through a script (using GDAL) or through the QGIS program. This question is unlikely to help any future visitors, it is only relevant to a small geographic area, a specific moment in time, or an extraordinarily narrow situation that is not generally applicable to the worldwide audience of the internet. For help making this question more broadly applicable, visit the help center.If this question can be reworded to fit the rules in the help center, please edit the question. A recent, perhaps-related issue (see James Fee's blog and related discussion) suggests that ogr2ogr will solve issues with bad shapefiles from NaturalEarth. Ogr2ogr might help if it was used before transforming the data. Source.

Яндекс.Метрика Рейтинг Free Web Counter
page counter
Last Modified: April 22, 2016 @ 3:03 pm