PhD Studentship in GIS/Remote Sensing/Climate Change/Health
PhD Studentship available at Manchester Metropolitan University. Climate change can have profound effects on the epidemiology of human disease where the underlying transmission is mediated through ecological change. This proposed work will seek to utilise a blended approach of remote sensing, GIS and environmental modelling with climate change scenarios to simulate potential ecosystem change in Tanzania.
Project Aim and Objectives
The central aim of this study is to develop a spatial model that predicts the impacts of climate change on ecosystem components associated with human health. The objectives of this study are:
• To identify the most suitable approach for environmental modelling at a regional scale. This includes the assessment of the influence of spatial scales on environmental models.
• To develop a predictive model capable of simulating ecosystem change. This step would require the creation of an environmental model either within a GIS framework – or ‘standalone’ but linked to a GIS for visualization and further decision making. This model should then be able to simulate future ecosystem conditions based on numerous climate scenarios.
• To research the necessary range of future environmental parameters in the context of climate change scenarios.
• To implement a range of ecosystem parameter predictions based on future climate change scenarios.
• An assessment of the validity and usefulness of ecosystem modelling and prediction for health. First, an objective assessment of how well the model manages to make predictions (simulations) of environmental parameters associated with disease and health. Secondly, given the quality and utility of these simulations, how can they be used for improving health?
Specific qualifications, skills, knowledge and experience applicants should have:
The proposed work will require skills and experience of a range of GIS and image processing software (e.g. Erdas Imagine, ArcGIS and QGIS) and modelling packages such as ‘R’ and MatLab. Experience of working with large datasets related to remotely sensed, climatic and environmental parameters as well as their statistical analysis using tools such as SPSS is required. The work requires the formulation of an environmental predictive model including climatic and meteorological components. Programming skills would be advantageous in order to write the necessary model and ensure it operates within a GIS framework effectively. Knowledge of how to gather and process large amounts of data as well as ensure it is ingested into a model framework is required. Knowledge of how the application of algorithms to produce new information as well as incorporate climate model output in the form of ensemble simulations would be required. Knowledge of model impact analysis and validation using the statistical approaches of accuracy, skill, reliability and robustness would be advantageous. Knowledge of biological/epidemiological disease factors and climate change within the tropics would be an advantage. A willingness to travel, possibly overseas and undertake fieldwork is required. Previous experience and skills in field data collection is required.
Closing Date: Friday 6th June
Spatial Analysis for Landscape Ecologists - workshop
This workshop provides an opportunity for postgraduates to be introduced to the spatial data and software packages which are available for landscape-scale research. There will be interactive discussions and a look at some examples of how GIS and spatial analysis is currently being used in scientific research at postgraduate level and beyond.
Day 1 – Spatial Data and Software
- Obtaining spatial data online
- Open source vs. license only data
- When is it worth creating your own data?
- Discussion: our experiences / pro’s and con’s
- FRAGSTATS for analysing landscape patterns
- Conefor and ArcGIS connectivity modelling
Day 2 – GIS in Scientific Research
- Guest speakers from Forest Research, University of Aberdeen and
- Centre for Ecology & Hydrology (CEH)
- A chance to see and discuss how GIS is used in scientific research from both the academic and commercial perspectives
- Introducing the new RangeShifter software
Date: TBC (mid July 2014)
Location: University of Reading
Fee*: £45 (ialeUK members), £80 (non-members) *Includes: Course, tea & coffee, 2x lunch, 1x dinner.
Date May 15, 2014
UCL CASA maps almost 2,000 years of London's history
The Guardian reports on how researchers at UCL's Centre for Advanced Spatial Analysis (CASA) collated vast datasets to map the capital's transformation from first-century Londinium to modern megacity.
The visualisation, originally created for the Almost Lost exhibition, explores the development of the city through the evolution of the road network and preserved buildings.
The full article about this project is available on The Guardian via the link below.
Horizon Digital Economy Research Institute - PhD Studentships
The Horizon Digital Economy Research Institute, based at the University of Nottingham, is looking to recruit a number of enthusiastic PhD students for the next academic year.
They are interested in students from a wide variety of backgrounds including computer science, engineering, human factors, psychology, sociology, business, geography, social science and the arts, providing they have an excellent first degree and can demonstrate an enthusiasm for interdisciplinary research. These students will benefit from:
- A fully-funded four-year PhD programme that integrates a leading-edge research project with research training in interdisciplinary skills.
- At least one internship with one of our partners.
- An enhanced stipend of £16,000 per annum as well as a personal laptop.
While we are open to prospective student’s own ideas in this area, we have been working closely with our partners on priority themes for this current round of recruitment which include:
- Communities, identities and place
- Curating travellers’ identities
- Digital identities for personalised media experiences
- Introducing a social perspective to future digital identity products
- Data analytics for digital identity
- The contextual footprint at work
- Augmenting fast-moving consumer goods in the home to support sustainable living
- Personal data to encourage wellbeing.
Closing Date: Friday, 30th May 2014
Date May 15, 2014
PhD post: Geospatial and Semantic Technologies and Data Mining (ARIADNE Project)
The VU University Amsterdam's Spatial Information Laboratory (SPINlab) and Network Institute (NI) are searching for a PhD candidate that focuses on semantic technologies, data mining and Geospatial technologies in the context of the ARIADNE Project focused on the field of Archaeology. The ARIADNE Project is in close collaboration with the Faculty of Archaeology Leiden University.
The ARIADNE Project aims to bring together and integrate existing archaeological research data infrastructures to enable researchers to use powerful technologies as an integral component of the archaeological research methodology. The last 20 years has produced a large and growing corpus of digital archaeological data about different time periods, sub domains and regions. The main problem with the available digital archaeological datasets is that these are far from homogeneous. The main challenge for the ARIADNE project is to develop tools and integrate infrastructures which enables archaeologists to search spatially and temporal through the rich datasets.
Within ARIADNE, the PhD candidate will work on a work package that is focused on text mining and data mining. Since spatial context and location are vital components in archaeological research the PhD student will primary focus on the relationship between geospatial and semantic technologies.
The candidate will work for 20% of his/her time in Leiden and 80% in Amsterdam.
You preferably should have the following qualifications:
• Master in Geographic Information Systems, Computer Sciences, Archaeology, e-Humanities or other related studies;
• Interest in and knowledge of semantic technologies and linked data;
• Interest in and knowledge of data mining, information extraction or machine learning;
• Interest in and knowledge of Geographic Information Systems;
• Fluency in spoken English and excellent written and verbal communication skills; and
• Willingness and proven ability to work in a team and to liaise with colleagues in an international and interdisciplinary research environment.
Applicants are requested to write a letter in which they describe their abilities and motivation, accompanied by a curriculum vitae, copy of Master Thesis, list of M.Sc. or M.A. courses and grades and addresses of two referees. Applications, mentioning the vacancy number in the e-mail header and only accepted via e-mail only, should be submitted before 22 May 2014.
The gross salary will be € 2083,00 gross per month in the first year and rising up to € 2664,00 gross per month in the fourth year (salary scale 85) based on a full-time employment.
More information about the post, the ARIADNE Project and contact details can be found via link below.
New Zealand push ahead with open data
The New Zealand government have just announced that they will make the large collection of aerial images available online. The images were collected with public funding and will be made available through the LINZ Data Service. The images cover around 95% of New Zealand and should help stimulate economic growth.Date May 14, 2014
Google Maps adds public transport data for UK
Spotted on the BBC News website this morning, Google has added public transport data to its Google Maps service for Great Britain. Google maps will now be able to provide routing information that uses public transport and provide users with information about what to catch and when.
This is a significant amount of data and should increase the usefulness of what is already a really quite useful service. It builds on previous attempts by Google to provide such a service across the UK which suffered from some patches where data was unavailable.
Short Courses in GIS - Newcastle
The University of Newcastle are running a couple of short courses in GIS. There are 3 courses available, all focusing on ArcGIS:
Introduction to GIS using ArcGIS, 2 – 3 June 2014
This two day course is structured to maximise your knowledge of GIS. Starting at the very basics, you will be taken through the key elements of a GIS and leave with the ability to independently tackle real world spatial problems within your corporate environment. Topics covered include:
- Introduction to the key concepts of a GIS
- How add and style data
- How to create and edit new datasets
- How to interrogate and perform basic spatial analysis
- How to produce comprehensive print layouts and create corporate print templates
Intermediate GIS using ArcGIS, 4 – 5 June 2014
You know the basics of GIS, but there is so much more functionality which could enhance your work and make it more efficient. This course will provide you with the additional knowledge to be able to use many of the extensions available within a GIS and provide you with the skills to use some of the more advanced features of GIS software. Topics covered include:
- How to answer questions and make decisions using spatial data
- How to create and edit geodatabases
- Raster and vector image registration
- Using 3D data for visualisation
- Learn advanced editing techniques
- Learn about different coordinate systems
Spatial Analysis using ArcGIS, 6 June 2014
Maps are great for conveying information but managers want quantitative values which they can be confident in. By learning how to analyse your data using spatial statistics and geospatial methods, you can quantify the geographical patterns and trends found. This course will introduce some of the methods used by a modern GIS, firstly introducing the concepts in a non mathematical manner, then moving on to the practical application through a number of real world exercises. Topics covered include:
- Learn what spatial distributions are and how they can be used
- Find out how to calculate spatial densities
- Discover what the global spatial correlation is and how can it be used
- How the local spatial correlation is calculated and used
Costs for staff and students of UK Universities are £400 for 2 day courses and £200 for 1 day courses. For all others, the costs are £590 and £310 respectively. Date May 14, 2014
Maps & Society talk, May 22nd
The next Maps and Society talk will take place on the 22nd May. Dr Iris Kantor (Department of History, University of Sao Paulo, Brazil) will be talking about 'Portable Empires: Atlases and the spatial projection of the Iberian Empires during the Constitutional Revolutions (1776–1825)'.
Meetings are held on selected Thursdays at The Warburg Institute, London WC1H 0AB at 5.00 pm. Admission is free. Meetings are followed by refreshment.
GIS Officer - Crofting Commision
The Scottish Government are currently seeking applications for two Geographic Information System Officers within the Crofting Commission based in Great Glen House in Inverness.
This vacancy contributes towards the Scottish Government National Outcome: “We have strong, resilient and supportive communities where people take responsibility for their own actions and how they affect others”. For information on the National Outcomes, please visit this website.
As GIS Officer, you will be part of the Crofting Commission Information Systems team which has a wide remit including GIS, reporting, reviewing and developing the Register of Crofts, IT support and the development of new business processes to support regulatory casework. As GIS Officer, you will report to the GIS Manager and working as part of a team you will support the project to register common grazings on the Crofting Register. This will involve the editing of GIS data, preparation of maps and working with stakeholders to ensure their accuracy prior to submission for registration. This post requires previous knowledge of the work area and the ability to analyse and resolve problems.
Salary: £22395 - £25417
Term: 23 Months
Closing Date: 30 May 2014 at midnight