GEEmap - visualising Geelong's entrepreneurial ecosystem
How do you know what a region's
entrepreneurial ecosystem looks like?
What the gaps are?
Where there are overlaps?
How do you drive change?
- Literature Review: Has this been done before?
- Pillar criteria: Define criteria for an organisation to be associated with one of the pillars
- Gather data: Gather organisation data, assess against criteria
- Visualise data: Identify options for visualisation, and select optimal approach, then implement
- Accessible markets: The availability of, and ability to identify, reach
and sell to a market or market segment
- Talent and skills: The availability of, and ability to attract and retain highly skilled people
with the right mindset for entepreneurial activity
- Finance and funding: Availability of, and ability to access grants, venture capital, angel investment etc.
- Networks and engagement: Richness and vibrancy of networks and relationships in the ecosystem
- Civic: Degree to which government policies and frames foster or inhibit entrepreneurialism
- Support: Availability of, and ability to access legal, financial, real estate and related services
- Learning: Availability of, and ability to access entrepreneurial education and skills development and tech transfer processes
- Regional culture: The region's attitude and inclination towards entrepreneurial activity
- Facilities: Availability, and ability to access real estate, internet, transportation etc.
Survey administered to 33 organisations
Node-Link mapping in JSON
Several alternatives explored for visualisation
- Representing size of organisations: No acceptable way to classify 'size' of organisation (staff, $turnover etc)
- Getting the force of the graph right: "Too forceful" and the visualisation is distracting, "too little force" and the nodes (pillars) don't repel each other enough
- Text wrapping in SVG / d3.js: Lack of granular control in wrapping lines of text - complex functions required for wrapping
- Interactivity design in SVG: The circles are 'mouseover' elements, but are obstructed by the text labels, which are not mouseover elements. Wow. Much workaround. Many swear.
- Change over time: When a new organisation is added to the database, the JSON is updated into a new file.
This can then be visualised to show Δ over time
- Different levels of visualisation: As the number of organisations increase, the visualisation becomes cluttered
- Representing different organisation attributes: Such as size, which cohorts it services, service offering etc.
Questions warmly welcomed :-)
Thank you :-)
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