Posts

Showing posts from 2022

Make an Open-Source Web Map with QGIS and then uploading it to github

Image

Testing QGIS Server Guide - Published - 21st Dec 2022

Here is a very handy PDF for testing your QGIS Server environment. https://docs.qgis.org/testing/pdf/en/QGIS-testing-ServerUserGuide-en.pdf

GIS Lesson 12 1: Installing QGIS Server and offer WMS / WFS Updated by Riccardo Klinger

Image

QGIS Web Client 2 (stand-alone) version - Development Installation - Part 1 of 2

Before you begin installation (using 'yarn') also at  https://github.com/qgis/qwc2-demo-app/blob/master/doc/QWC2_Documentation.md#quick-start  which was done in Ubuntu 22.04 LTS.  This is my own version documentation (as usual to archive my notes and caveats). This will not install all of the 'qwc-services' or 'micro-services' that the additional modules provide. It is the 'stand-alone' version with the web map client.  If you require additional 'micro-services' you may be better off installing 'Docker' containers here  https://qwc-services.github.io/setup/quick-start/ Here is an overview of the project as at FOSS 2019.  https://blog.sourcepole.ch/assets/2019/qwc2-foss4g19.pdf **There will be differences in the package management systems on other linux distros (excluding Windows)** Lets get started! Open a 'Terminal' :~$ sudo apt install npm :~$ sudo npm install -g yarn :~$ git clone --recursive https://github.com/qgis/qwc2-demo-

Overture Mapping Foundation

News is that Meta, Microsoft, Amazon Web Services and TomTom are partnering with the Linux Foundation have set up the 'Overture Mapping Foundation' in order to develop 'open' map data. Hopefully this will be for the good of Geo-Spatial data dissemination (or) will it eventually be a monopoly service when it reaches mass? https://overturemaps.org/ 

QGIS 3.26 semi-integrated 3D Views

Image
I just love how you can work in both 2D and 3D views semi-integrating nicely in QGIS 3.x. The 3D maps have come a long way. Hopefully we won't have to wait too long for full and smooth integration.

Install PostreSQL 14 and PostGIS 3 on Ubuntu 22.04 LTS

Image
I always get frustrated when I update my version of Ubuntu to the next LTS and want to do some development work with the latest stable releases of PostgreSQL and PostGIS.  I usually trawl a few web sites to find out what has changed but each time there are slightly different ways of doing the upgrade depending on where you land and who it is doing it. So...to (hopefully) help other people out wasting half a day or so here is my solution.  Hope this works for you too... To completely remove all previous installed versions of Postgresql/PostGIS libraries and docs if there is a previous version:-  :$ sudo apt --purge remove postgresql postgresql-*  :$ sudo apt autoremove  Remove old folders:-  :$ sudo rm -rf /var/lib/postgresql/  :$ sudo rm -rf /var/log/postgresql/  :$ sudo rm -rf /etc/postgresql/   Remove the old 'postgres' user:- :$ sudo deluser postgres    Restart System:-  :$ sudo shutdown -r now then:-  Update System after restart:-  :$ sudo apt update && sudo apt upg

Use of Proprietary Software in the Aid Sector Perpetuates Racial Injustice

A real thought provoking article arrived in in-box this morning from the brilliant Suchith Anand and just highlights the usual bias by large corporations that if you pay for software it must by definition be better than a free alternative in every case. The initiative just proves there should be no cost barrier to innovation. https://ivangayton.net/2020/07/03/use-of-proprietary-software-in-the-aid-sector-perpetuates-racial-injustice/

Murena Launch Event

Image

Introduction to 'R' packages 'mapsf' and 'tmap'

Image
‘R’ Mapping Demo - ‘mapsf’ and ‘tmap’ ‘R’ Mapping Demo - ‘mapsf’ and ‘tmap’ Timothée Giraud 21/02/2022 library(tmap) data("World") tm_shape(World) + tm_polygons("HPI") # install.packages("cartography") library(sf) ## Warning: package 'sf' was built under R version 4.1.3 ## Linking to GEOS 3.9.1, GDAL 3.2.1, PROJ 7.2.1; sf_use_s2() is TRUE library(cartography) ## This project is in maintenance mode. ## Core functionalities of `cartography` can be found in `mapsf`. ## https://riatelab.github.io/mapsf/ # path to the geopackage file embedded in cartography path_to_gpkg <- system.file("gpkg/mtq.gpkg", package="cartography") # import to an sf object mtq <- st_read(dsn = path_to_gpkg, quiet = TRUE) # plot municipalities (only borders are plotted) plot(st_geometry(mtq), col = "grey80", border = "grey") # plot population propSym