dis-organization/ozmaps

destroyed to avoid large files

Overview

The goal of ozmaps is to get maps of Australia to plot!

Installation

ozmaps may be installed directly from github.

devtools::install_github("mdsumner/ozmaps")

The package includes some simple features data, which can be used independently of ozmaps with the ‘sf’ package. If required, install sf from CRAN.

install.packages("sf")

Usage

Plot Australia with states.

library(ozmaps)
ozmap()

Plot Australia without states.

ozmap(x = "country")

Add to an existing plot.

plot(quakes[c("long", "lat")], xlim = c(120, 190))
ozmap(add = TRUE)

Obtain the data used in sf form.

sf_oz <- ozmap_data("states")

tibble::as_tibble(sf_oz)
#> # A tibble: 9 x 2
#>   NAME                                                             geometry
#>   <chr>                                                  <MULTIPOLYGON [°]>
#> 1 New South Wales     (((150.7016 -35.12286, 150.6611 -35.11782, 150.6373 …
#> 2 Victoria            (((146.6196 -38.70196, 146.6721 -38.70259, 146.6744 …
#> 3 Queensland          (((148.8473 -20.3457, 148.8722 -20.37575, 148.8515 -…
#> 4 South Australia     (((137.3481 -34.48242, 137.3749 -34.46885, 137.3805 …
#> 5 Western Australia   (((126.3868 -14.01168, 126.3625 -13.98264, 126.3765 …
#> 6 Tasmania            (((147.8397 -40.29844, 147.8902 -40.30258, 147.8812 …
#> 7 Northern Territory  (((136.3669 -13.84237, 136.3339 -13.83922, 136.3532 …
#> 8 Australian Capital… (((149.2317 -35.222, 149.2346 -35.24047, 149.2716 -3…
#> 9 Other Territories   (((167.9333 -29.05421, 167.9188 -29.0344, 167.9313 -…

Plot with a custom palette.

library(sf)
nmjr <- colorRampPalette(paletteer::paletteer_d(package = "ochRe", palette = "namatjira_qual"))(nrow(sf_oz))
plot(st_geometry(sf_oz), col = nmjr)

## soon...plot directly with ggplot2
library(ggplot2)
ggplot(sf_oz, aes(fill = NAME)) + geom_sf() + coord_sf(crs = "+proj=lcc +lon_0=135 +lat_0=-30 +lat_1=-10 +lat_2=-45 +datum=WGS84") + scale_fill_manual(values = nmjr)

Plot the ABS layers (from 2016).

opal <- colorRampPalette(paletteer::paletteer_d(package = "ochRe", palette = "namatjira_qual"))
ozmap("abs_ced", col = opal(nrow(abs_ced)))

ozmap("abs_ste", col = opal(nrow(abs_ste)))

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Please note that the ‘ozmaps’ project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.

ozmaps's Issues

split out data package

I'd hoped to not have to do this, but CRAN wants packages under 5Mb unless it's a data package, and hence won't change very often and clog up the disks with archives.

• rejig ozmaps.data to be these layers, it means that package should really use piggyback and tighten that up a lot, keep the original stuff and ship the simplified versions
• ozmaps will be bare minimum, whatever that means - states, commonwealth electoral - probably, maybe LGA - all other layers kept external

(that means a bit of back tracking given how I first started this process)

Error: package or namespace load filed

Hi,
I have installed package 'ozmaps' and 'sf'. When i use library(sf) it automatically closes my R and restarts. and with library(ozmaps) it shows the error below:

Error: package or namespace load failed for ‘ozmaps’: .onLoad failed in loadNamespace() for 'sf', details: call: CPL_set_data_dir(prj) error: function 'Rcpp_precious_remove' not provided by package 'Rcpp'

make all data tibbles

These are crashing R just for a print, time to kill the data.frame

the bowerbird "all states" effort

Here's Tasmania:

     {"name":"Tasmanian Government LIST Open Data",
      "description":"Tasmanian location based information.",
      "reference":"https://www.thelist.tas.gov.au",
      "source_urls":"http://listdata.thelist.tas.gov.au/opendata/data/",
      "citation":"",
      "license":"http://www.tas.gov.au/stds/codi.htm",
      "comment":"",
      "do_sync":true,
      "method":"wget",
      "method_flags":"--recursive --no-parent",
      "postprocess":"unzip",
      "access_function":"[various]",
      "data_group":"Local authority"
     },

state government spatial data

This has cadastre, roads, elevation contours, localities, and many others. raadfiles has some file handling https://github.com/AustralianAntarcticDivision/raadfiles/blob/3ad7065d1680715e4617c5c36a256054fb0d5888/R/raad-thelist-files.R

imagery

Can we scrape this as raster data? Is the ortho and other images available for download in whole form?

https://github.com/mdsumner/tasmapr

Lidar

Is Wellington and coastal lidar available in raw form?

compare oz fed divisions

bare start here, the data in sf/rda format (16Mb) from all the GeoJSON (200Mb)

https://github.com/mdsumner/aufedr

first cut of maps and functions for different subsets

Steph Kobakian and Nat Tomasetti worked on the ozmaps during our numbat hackathon these last few days. They have R data files of the main ABS maps, and code to pull and generate new ones as they arise. They are thinned down to low resolution. There are functions to select regions on the maps also. All of this is at https://github.com/NTomasetti/mapsR. If you want to take it over and package nicely it would be welcome %^)

basic data layers and plotting entities

• oz outline
• state outlines
• local govt areas (LGA), municipalities
• electoral areas
• ABS statistical areas (SA1, SA2, SA3, SA4)

For each one,

• provide source/s that are inbuilt data sets (up to a few Mb in the package)
• simple plot, vs get the layer
• simplified attribute names (NAME, STATE, etc) as well as access to the raw data

Code to download a different shapefile and make available

Can you provide the code to download other shapefiles, and convert to R objects, as part of this package? The SA2, SA4, .... all change periodically, and we will need to update the maps. If we are working on some historical data, we would need to have older shapefiles converted to R object. It would be really helpful to have this code available as part of the package.

report on the broken MapInfo files

name and context

Name

• ozmaps

I'm a bit uneasy about having "ozmaps" as the package and "ozmap" as the functions, that sometimes causes problems - but it matches maps::map nicely.

Context

• integrate with maps package?
• investigate similar packages

There is eechidna, oz, bomrang, grattan, Census2016, ALA4R and heims.

Who else is working on this?

Generalization

• create sources in bowerbird form, publish those with bowerbird (but don't use bb)
• hardcode the links for download, and point to bowerbird as an automatable set up

Do we have ozmaps, and ozmapsdata as analogous to maps/mapdata?

Bad aspect ratio in README plots is disconcerting

Is it possible to make the examples use a decent default projection?