Lab Exercise 2: Animated Cartogram - Geovisualization (GLS688)

   Cartogram is a unique type of map because it combines statistical information with geographic location. Physical or topographical maps show relative area, distance, and terrain, but they do not provide any data about the inhabitants of a place. Cartograms on the other hand take some measurable variable: total population, age of inhabitants, electoral votes, GDP, etc., and then manipulate a place’s area to be sized accordingly. The produced cartogram can really look quite different from the maps of cities, states, countries, and the world that are more recognizable. It all depends on how a cartographer needs or wants to display the information. Cartograms come in all shapes and sizes, literally, and with the continuous advances in technology of Geographic Information System(GIS) software. This post presents a rough idea of how one might create a cartogram using QGIS.

Data Download :

2010 Malaysia's Population By States

Procedure :

Step-by-Step Guide Creating Animated Cartogram

Project 1 : Interactive Animation and Web Mapping of Sabah Earthquake from 1970 to 2016 - Geovisualization (GLS688)

Map layers may contain temporal data an attribute field containing the date and time that something happened. These temporal events can occur in the same place, or can occur in different places, over the course of time.  In the web map, temporal data can be visualized using a time slider. The time slider provides controls to explore temporal data interactively and is available at the bottom of any map that contains enabled temporal layers. Time Aware is a configurable app template that enables users to visualize time-enabled layers. It enhances the temporal capabilities of the web map, and can be configured to display time-enabled web maps in different ways.

Data Download

Search Earthquake Catalog

Procedure :

Step-by-step Guide Creation of Animation of Sabah Earthquake

Lab Exercise 1: Mapping Burglary Hotspot in Shah Alam - Geovisualization (GLS688)

  Heatmaps are one of the best visualization tools for dense point data. Heatmaps are utilized to effectively recognize discover groups where there is a high convergence of movement. They are likewise valuable for doing cluster analysis and hotspot examination.

    We will work with a dataset of burglary activites in Shah Alam and find crime hotspots in the county by performing HotSpot or Cluster analysis on dense point data. It will answer the highest burglary hotspot in that location and which police jurisdiction need to improvise and develop more of its branches.

Data Download :

ShahAlamCrime.zip

Procedure :

Step-by-step guide Mapping Burglary Hotspot in Shah Alam

Visualize Bird Migration Data in QGIS - Geovisualization (GLS688)

    A common use case of the QGIS TimeManager plugin is visualizing tracking data such as animal migration data. This post illustrates the steps necessary to create an animation from bird migration data.

Data Download :

Migratory connectivity of purple martins (data from Fraser et al. 2016)

Procedure :

Step-by-step guide Visualize Bird Migration Data in QGIS

Lab 2 Creating Heatmaps using QGIS - Geovisualization (GLS688)

    Heatmaps are one of the best visualization tools for dense point data. Heatmaps are utilized to effectively recognize discover groups where there is a high convergence of movement. They are likewise valuable for doing cluster analysis and hotspot examination.

    We will work with a dataset of crime locations in Surrey, UK for the year 2011 and find crime hotspots in the county by performing HotSpot or Cluster analysis on dense point data. data.police.uk provides street-level crime, outcome, and stop and search data in simple CSV format. Download the data for Surrey Police and unzip the downloaded archive to extract the CSV file. 

Data Download :

2015-08-surrey-street.csv

Procedure : 

Step-by-step guide Creating Heatmap using QGIS

Lab 1 Revisit John Snow's Map 1854 using QGIS - Geovisualization (GLS 688)

    John Snow (15 March 1813 – 16 June 1858) was an English physician and a leader in the adoption of anaesthesia and medical hygiene. He is considered one of the fathers of modern epidemiology, in part because of his work in tracing the source of a cholera outbreak in Soho, London, in 1854. His findings inspired fundamental changes in the water and waste systems of London, which led to similar changes in other cities, and a significant improvement in general public health around the world.

     This QGIS tutorial walks through a John Snow's famous cholera investigation in Soho with a 3D surface using Qgis2threejs plug-in, raster creation tools and Spatial Analyst. There are multiple sources for the similar data used in this presentation, including data compiled by Robin Wilson.

Download Data Link :

SnowGIS_v2

Procedure :

Step-by-step guide John Snow Map

Final Result :

Trimble NavEdit Program @ HydroPRO Software

NavEdit is the graphical data visualization and cleaning tool that allows you to edit depth-related data such as recorded depth, heave, and tide. It is the link between the Navigation and Processing software components. This software developed too graphically and textually displays depth, heave, tide, and position information that has been acquired by the Navigation software. The NavEdit software creates an export file that can be imported directly into the Processing software

NavEdit is capable to provides hydrographic surveyors with the ability to view and edit depth and position data as well as the ability to edit individual depth and heave values. This program also able to plan View Map to provide graphically display the positional information and a Tide Editor tool that is used to create Tide files 

Once all the depth, heave, and position data has been checked and edited, the data is ready to be exported to the Processing software for final presentation and analysis.

Download Link :

NavEdit @ HydroPRO


Procedure and Manual Guide :

NavEdit Manual