Impact GIS undertook a drone survey of Killirsa Graveyard in County Galway to generate high resolution orthophotography for mapping of grave plots. Grave plots were mapped using Geographic Information System (GIS) software, allowing for data associated with each grave plot to be stored in an accompanying database. See the slide show below.
Bing aerial imagery of Killursa
Online sources of aerial photography are not of a sifficiently high resolution to be able to map grave plots
Drone survey of Killursa
High resolution orthophotography generated from a drone survey
Extract of drone survey
An extract from the drone survey showing the resolution of the orthophotography
Grave plots and other features mapped
Grave plots and other features mapped using Geographic information system software
Map of plots with reference grid
A 10m x 10m grid with alphanumeric labels overlaid to aid in locating individual grave plots
Killursa map with index of names
Index of names referenced to 10m x10m alphanumeric grid
Why use GIS?
Firstly it is probably best to explain what a Geographic Information System is. It’s all in the name, it is as system that allows you store information which is associated with location (geographic data). Most relevant to this project, GIS allows you to draw polygons, such as the squares and rectangles of the grave plots, and each one of these, as well as being spatially correct (in the right location), can have information about it stored in a database. So each grave plot can have the names, dates, inscriptions etc. stored and this information can be sorted, searched, filtered etc. This can form the basis of labelled paper maps, a searchable database, interactive online maps etc.
Impact GIS recently undertook a photogrammetric survey, on behalf of Moore Group, of an historic well exposed during road realignment and upgrade works in Dublin. Located to the north of Phoenix Park, along Blackhorse Avenue, the Well is noted as ‘Poor Man’s Well’ on both the 6 Inch (circa 1830) and 25 Inch (circa 1900) historic Ordnance Survey maps. The following 3D model was created from a measured, photographic survey and used to produce a series of figures for inclusion in the excavation report for the project.
Sometimes you are doing a bit of research and you come across some data and think, ‘that would be far easier to understand if I could turn it into a map using GIS’. Or maybe I’m just a bit strange. This is exactly what happened when I was looking into what the likelihood is of my broadband speed increasing in the next few years. The out come for broadband is not good, but the journey produced a map which shows just how dire the situation is for much of rural Ireland.
The government have recently launched their broadband.gov.ie website as the first stage towards intervening to bring ‘High Speed Broadband’ to all premises in Ireland. Surprise, surprise the private companies or commercial interests have no interest in providing a service to rural areas. The first stage of the States intervention is to quantify the total number of premises and, of that total, how many will have high speed broadband provided by commercial operators by the end of 2016, the State is proposed to intervene and install high speed broadband for those premises that don’t have high speed broadband by then. All the data is presented down to townland level on the website, but for purposes of the map below I have used the county data.
The results are enlightening! Worst off is County Roscommon, by the end of 2016 a staggering 64 percent of premises in the county will not have access to a high speed broadband. Not so surprising, is that 99 percent of people in County Dublin will have high speed broadband by the end of 2016. Overall approximately 31 percent of all premises is Ireland will not have access to high speed broadband by the end of 2016. Give Dublin’s size, it skews the data for the rest of the country, the reality is that by the end of 2016 over 42 percent of premises outside of County Dublin will still not have access to high speed broadband.
The map below was produced using QGIS.