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Linux Mint 20 on the thinkpad X240

Installation

Linux Mint cinnamon desktop ISO written to USB with Balena Etcher.

Boot using F12 key to select USB drive.

Touchpad post-suspend fix

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#!/bin/bash

# Rename a file with a UUID, preserve the extension.
# Usage:
#     mvuuid.sh TEST.JPG
# Output example:
#     887D830A-AE74-4835-8990-760908125E0B.JPG

mv $1 `uuidgen`."${1##*.}"

simbamangu

#!/bin/bash

# Rename a file with a UUID, preserve the extension.
# Usage:
#     mvuuid.sh TEST.JPG
# Output example:
#     887D830A-AE74-4835-8990-760908125E0B.JPG

mv $FILE `uuidgen`."${FILE##*.}"

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# Run in QGIS
# Save all the layouts as PNG files from the current project.
outurl = '/Users/USERNAME/' # using ~ does not work?
outformat = '.png'
outdpi = 200
manager = QgsProject.instance().layoutManager()
for layout in manager.printLayouts():
    print('Saving: ' + layout.name())
    
    layout = manager.layoutByName(layout.name())

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<!DOCTYPE model>
<Option type="Map">
  <Option type="Map" name="children">
    <Option type="Map" name="grass7:v.clean_1">
      <Option type="bool" value="true" name="active"/>
      <Option name="alg_config"/>
      <Option type="QString" value="grass7:v.clean" name="alg_id"/>
      <Option type="QString" value="v.clean - Toolset for cleaning topology of vector map." name="component_description"/>
      <Option type="double" value="157" name="component_pos_x"/>
      <Option type="double" value="185" name="component_pos_y"/>

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Geotagging with ExifTool and a tracklog

This is a brief guide to using ExifTool to geotag a folder of images.

• On OSX: get ExifTool with Homebrew: brew install exiftool
• Ubuntu/Mint: sudo apt install exiftool
• On Windows: download from the ExifTool website. Replace exiftool with exiftool.exe in the examples here!

Example:

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# RCurl needed for Google Docs access.
require(RCurl)

# The URL obtained by File|Publish to web then select csv:
u <- "https://docs.google.com/spreadsheet/pub?hl=en_GB&hl=en_GB&
  key=0AmFzIcfgCzGFdHQ0eEU0MWZWV200RjgtTXVMY1NoQVE
  &single=true&gid=4&output=csv"
con <- getURL(u, ssl.verifypeer=FALSE)
i <- read.csv(textConnection(con)) # Read the file.

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# set.seed(42)
X = 25
Y = 26
N = 100
set.sd = 5

set <- rnorm(N, Y, set.sd)
set.left <- set[set < X]
set <- c(set.left, X + (X - set.left))

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for (i in 1:10) {
  kid.img <- system.time(dem <- raster("~/workspace/TEMP/kideporegion.img"))
  kid.asc <- system.time(dem <- raster("~/workspace/TEMP/kideporegion.asc"))
  kid.tiffdeflate <- system.time(dem <- raster("~/workspace/TEMP/kideporegion_deflate.tif"))
  kid.tiffnone <- system.time(dem <- raster("~/workspace/TEMP/kideporegion_none.tif"))
  kid.tif <- system.time(dem <- raster("~/workspace/TEMP/kideporegion.tif"))
  kid.tifpack <- system.time(dem <- raster("~/workspace/TEMP/kideporegion_pack.tif"))

  kid.times <- data.frame(as.list(kid.img))
  kid.times[2,] <- as.list(kid.asc)