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Copy file name to clipboardExpand all lines: osm.qmd
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@@ -118,23 +118,24 @@ Extracts from each provider are shown in the figures below, generated by code th
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## Geofabrik
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`geofabrik` is a society that provides map-based services and free downloads of OSM extracts that are updated daily.
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These extracts are based on a division of the world into different regions, covering a whole continent (plus Russian Federation):
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`geofabrik` is a company that provides map-based services and free downloads of OSM extracts that are updated daily.
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These extracts are based on a division of the world into different regions, at 4 different levels.
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Zones in level 1 cover a whole continent (plus Russian Federation):
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```{r}
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#| code-fold: true
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par(mar = rep(0, 4))
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plot(geofabrik_zones[geofabrik_zones$level == 1, "name"], key.pos = NULL, main = NULL)
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```
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or several countries all around the world:
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Level 2 contains polygons representing several countries all around the world:
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```{r}
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#| code-fold: true
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plot(geofabrik_zones[geofabrik_zones$level == 2, "name"], key.pos = NULL, main = NULL)
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```
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Geofabrik also defines several special zones, such as Alps, Britain and Ireland, Germany, Austria and Switzerland, US Midwest, US Northeast, US Pacific, US South and US West.
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Geofabrik also defines several special zones, such as Alps, Britain and Ireland, Germany, Austria and Switzerland, US Midwest, US Northeast, US Pacific, US South and US West (level 3).
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Moreover, it contains extracts relative to some administrative subregions, mainly in Europe, Russia, Canada and South America:
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```{r}
@@ -147,15 +148,15 @@ Check `?geofabrik_zones` and the [provider's webpage](http://download.geofabrik.
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## Openstreetmap.fr
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`openstreetmap_fr` extracts are taken from http://download.openstreetmap.fr/, a web-service that provides OSM data updated every few minutes.
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The extracts are based on several regions, such as the continents:
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The extracts are based on several regions, such as the continents (level 1):
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```{r}
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#| code-fold: true
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# Russian federation is considered as a level 1 zone
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plot(openstreetmap_fr_zones[openstreetmap_fr_zones$level == 1, "name"], key.pos = NULL, main = NULL)
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```
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or some countries around the world (less than `geofabrik`):
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or some countries around the world (less than `geofabrik`'s level 2 zones):
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```{r}
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#| code-fold: true
@@ -217,6 +218,8 @@ The quickest way to get large OSM datasets in R (and possibly in any data analys
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The package makes your life easy by automating many parts of the OSM extract identification, download, and processing pipeline, so you can focus on the analysis and high-impact reasearch!
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