Highlights
Part 1: Data Capture using Global Positioning System
Global Navigation Satellite System (GNSS) is the generic term for satellite navigation systems that provide geographic positioning services with global coverage. The Global Positioning System (GPS) is owned by the United States and consists of 31 satellites in the orbit (at least 24 operational at any one time) that provides location (i.e. latitude and longitude/eastings and northings) information where there is an unobstructed line of sight to three or more GPS satellites. Other Global Navigation Satellite Systems (GNSS) used around the world include:
• Russia’s GLONASS (Russian Global Navigation System)
• China’s BeiDou Navigation Satellite System
• European Union’s Galileo satellite network
It is important to note that GPS system is only part of the GNSS network owned and run by the United States Government. Many devices (both consumer and professional grade) are becoming multi-GNSS compatible, which can result in an increased accuracy and coverage (i.e. able to get a fix in more challenging environments such as within gorges, in the city with high raised buildings, etc.).
By the end of Part 1 you will learn:
1. How to import data from geo-tagged photographs and Excel spreadsheets into ArcGIS. 2. How to apply advanced proximity analyses using multiple ring buffer tool
Unfortunately, due to the current COVID19 environment and restrictions on social distancing we are unable to undertake the planned collection of location data of the sculptures on show within Macquarie University and locate nearby fire hydrants using a handheld GPS unit. Instead, all the data required for this task will be provided to you.
The techniques you will use to import location data from excel tables and geotagged photos are identical to those that are used in industry and government departments to capture spatial information. However, in this case the surveying instruments used (consumer-grade GPS) provide a different level of positioning accuracy. For example, the differential GPS (often used by industry and governments) provides an location (x,y) accuracy of about 1-3 cm once post- processed, as opposed to the consumer handheld GPS unit used to collect our data that has an location accuracy of approximately 3-10 m, and worse under poor GPS signal reception.
Task 0. Download Practical Data Go to the week 7 section of the unit’s iLearn page, download the practical dataset for this week. Save the file on to your local drive or AppStream session in a convenient location
Task 1. Importing Geotagged Photographs of the Sculptures into ArcMap
The Scenario: You have been asked by Macquarie University to locate the sculptures that are housed within the Central parts of the University grounds (See map below), and give them the relevant attributes (including the sculpture name, material and locational accuracy). As part of this project they have also asked you to collect information concerning the number and location of sculptures that are potentially at risk from a fire if it were to occur (determined by their proximity to nearby fire hydrants). This spatial data has been collected using handheld GPS and geotagged photos for you.
Q1.1: How many sculptures are recorded using geotagged photos?
Q1.2: How many sculptures are recorded in the Sculpture_xls.shp?
Q1.3. (a) How many Hydrants are recorded in Hydrants.shp?
(b) What is the total number of outlets of all the hydrants?
Q1.4
(a) How many sculptures are within 0-40m from hydrants?
(b) How many sculptures are within 40-60m from hydrants?
(c) How many sculptures are at extreme risk (i.e. more than 60m away from hydrants)?
Q1.5. Create an A4 map of the sculptures, fire hydrants, and fire risk buffer layer (buffer shown using transparent fill/shade OR setting the buffer to hatch/cross-hatch symbology- see the notes below on how to do this) in the Layout View (see description below). Give the sculptures a unique symbol for each material type and make sure that they are easily differentiated from the fire hydrants. Include your initials in the title of the map (e.g. WF). Use an appropriate base map (i.e. imagery or street), title (remember this must be clear, concise and descriptive), scale bar (in kilometers), north arrow, and legend.
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