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22:53 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2016

The economics of bringing a new geo product to market by leveraging open standards, FOSS and FOSS4G

The cloud and open source software have fueled a wave of innovation that has enabled both large and small companies to bring products to market more easily and with less cost and friction than ever before. This talk will describe our journey to bringing such a new product to market. In 2014 Google began selling its high resolution imagery and purchasers received the data as large buckets of files deployed within Google’s Cloud Platform (GCP). This opened a requirement for high performance serving of that imagery via the Open Geospatial Consortium’s (OGC) WMS and WMTS standards. This talk will describe the process of a small company developing this image serving technology by both incorporating and contributing to open source and geo open source initiatives. The talk will describe the market opportunity for the new product as well as the business case that led us to choosing an open source approach even for something that is ultimately sold. The talk will also describe the Node.js technical approach that was chosen and the array of geo tools, such as Mapnik and PostGIS, and other open javascript frameworks (e.g. Bootstrap, Handlebars.js, etc.) that underpin the solution. The talk will also highlight our development team’s open source contributions back to projects and the community. The talk will conclude with a description of the lightweight server and its features that enable an “imagery as a service” business model that daily serves hundreds of users in Utah and Texas.
  • Published: 2016
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
21:36 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2016

Nobody cares about your datum: or the Kleinstaaterei of spatial reference systems

What is the difference between people that make maps and GIS people: GIS people waste much of their time dealing with spatial reference systems while people making maps just avoid them like the plague and instead focus on the projections they need to use to represent their data with. Most discussions on the topics of projections and spatial reference systems is mainly on the large number of small spatial reference systems each used by a limited number of groups. Work for the state of Massachusetts, use EPSG 2805, work for the Boston police? then you use EPSG 2249. This talk will focus on the gap between how projections work in theory vs how people constantly waste their time dealing with projections. Most of the mental energy spent on projections and spatial reference systems is spent on incompatible local systems used for storage of data, which are also known as internal details nobody should care about with disproportionate time spent converting between datums whose differences are smaller then the precision of the data.
  • Published: 2016
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
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