A mitigation technique for whale-vessel collisions is of interest to both commercial and conservation sectors as they often result in damage to the ship and death of the whale. The scale of which this is happening is difficult to monitor as there is no universal database on the matter and ships are often nervous to report collisions due to perceived implications. However, the IWC Vessel Strike Data Standardisation Committee has been collating both formal and informal reports of whale-vessel strikes since 2005 which indicates whale-vessel strikes are on the rise and unsurprisingly more common in areas with high maritime traffic. Continue reading “Mitigating whale-vessel collision from Space: a viable option?”
Adapted from a presentation I did a couple of years ago – Food Banks visualised in a series of maps. Disclaimer: this is one of the first GIS projects I ever did so I do apologise for my poor choice of colours and formatting. I do still think the data is interesting which is why I chose to share it here.
Food Banks provide short-term emergency support during a crisis
They aim to relieve the immediate pressure of the crisis by providing food, while also offering solutions to help identify and resolve the underlying causes of the crisis.
- Thousands of people go hungry within the UK every day due to the inability to afford food
- Instigated by local church groups, Food Banks were set up within communities to provide donated food to the less fortunate via groups of volunteers.
- The Trussell Trust aspires to have a minimum of 1 Food Bank within every local community
Where can you find a Food Bank?
The prevalence of food banks has vastly increased in the past 10 years.
There are around 1000 food banks in the UK. 424 operate under the Trussell trust which can be seen on the map below.
The Referral System
Food Banks distribute three-day emergency food parcels to people in crisis who are referred by frontline care professionals or local organisations such as:
- job centres,
- social workers,
- health visitors
- school liaison officers.
- children’s centres,
- housing associations,
- welfare agencies
The number of vouchers given out also vastly increased:
160,000: The highest number of vouchers was given out in the North West in 2015
3.38%: the percentage of people in the North East who received a 3-day voucher 2015
These statistics are even more sobering when looking at the number of under 18’s receiving vouchers:
61,750: The highest number of vouchers given out to under 18’s was in the North West in 2015
7.12%: the percentage of children in the North East who received a 3-day voucher in 2015
- The first food bank opened in 2013
- Mainly in the North-East of the city
- 15 organisations operating over 20 sites
- All are Christian organisations
We read several reports which highlighted the key reasons people use Food Banks in the UK. A study by the University of Hull called ‘Mapping Hunger’ highlighted the main reasons people use food banks:
- Benefit delays
- Long-term illness
- High level of deprivation
- Low skill jobs
I decided to apply these key reasons to the case study of Sheffield to see if they are true. The different geodemographics I will analyse are:
- Long-Term Sick
- Rates of people claiming Job Seekers Allowance
The Multiple Index of Deprivation takes into account 7 factors:
- Sheffield is ranked the 60th most deprived local authority in England out of 326.
- 23% of Sheffield’s LSOAs are in the 10% most deprived nationally
- Performs worst in Education 41st of 326
- Performs best in Living Environment 135th of 326
As food bank users are most likely to be using public transport a 2km buffer is used to highlight the travel distance. Most deprived areas are included in this area, though it highlights an area in the North that is not served by a local food bank.
Recently I have done a couple of training sessions and found people wanted guidance on how to download Sentinel-2 data and what they could do with it. This uses an example of processing in tropical forest but could be adapted for other purposes. Here are the notes I produced as a result of this session – they are aimed at a complete beginner who isn’t looking to do masses with the data but would just like to get started with learning. I thought I would share in case they are useful to anyone else.
It requires a plugin called the Semi-Automatic Classification Plugin that can be installed by going to Plugins > Manage and Install Plugins then searching for Semi-Automatic Classification Plugin. It will be highlighted in green as it is a trusted plugin. Press install and all the toolbars should appear.
Note there is definitely more glamorous ways of doing this, but this is a great start for people who are only looking to use QGIS. Feel free to ask any questions!
Once again I present you a very dated case study – I must have preempted this as I have since moved to Scotland so this suddenly seems interesting again.
Scotland is connected by a series of trunk roads. Trunk roads are roads of strategic importance and closure of one of these roads can have widespread impacts. Scotland’s trunk roads carry 35% of all Scottish traffic and are valued at £20.8 billion. In August 2004 there was a series of landslide events across Scotland. The landslides affected key parts of the road network and limited access to travel and services, highlighting the potential financial implications of landslides (Table 1).
Another small project I did ages ago. This is one I’d like to return to as there is so much more potential and remote sensing for forests is a particular interest of mine. However for now here is a quick look at a case study of the wildfire-urban interface.
The GiIl and Stephens article is an excellent article about the challenges posed by wildfires on the management of the wildland-urban interface (WUI). Building on this, this post will use GIS and remote sensing to look at asset protection zones in Wilson, Wyoming.
Firstly I thought I’d share some short summaries of projects I’ve worked on in the past. They are quite basic in their techniques used – I was just starting out! – but I think they could be useful as a case study nonetheless.
Deforestation is a growing issue in developing countries as the demand for agricultural commodities rises. In Ecuador, the government’s subsidy based approach to agriculture and the discovery of oil has led to the country having the highest rate of deforestation in South America. Furthermore, the removal of vegetation has been identified as the leading cause of soil erosion. I chose to look at two sites in contrasting regions of the country to see how the soil has been impacted as a result of deforestation. An overview of the two sites characteristics can be seen in the table below: