Join fellow geo-enthusiasts for Maps Camp 2017 in NYC. We're putting together an exciting day to discuss how Open Source and the Mapping/GIS world benefit one-another.
Maps Camp features a rich mix of presenters from across the open source community.
Please See Schedule Below
Maps Camp includes an interesting mix of presentation on best practices, emerging techniques recent research.
Overview Attendees to the Building Location Aware Applications using Redis workshop will develop a location-aware client-server application that indexes the location of Bike sharing stations in the US and Europe. The primary focus of the workshop will be on using the geospatial indexing functions of Redis to build location aware functionality into mobile and web applications. As part of the workshop, attendees will learn to parse a web feed of bike share data, store and index that data in Redis, map the data using Google Maps, and build a simple API for answering geographic proximity queries. Agenda The workshop take a hands-on approach to learning the material by building a sample application in Python to parse and load a public feed of bike share information into Redis, then build an API to query that data to build a sharing and locating application. The main topics covered in the workshop are: * Introduction to Redis Geospatial Indexing * GBSF Feed Format * Parsing GBSF feed and storing in Redis * Mapping geographic data from Redis using KML file * Querying Redis geographic data * Building an API to access Redis geographic data Time will be allocated to understanding how to build a JSON feed parser as well as some the issues (technical, legal, and being a good citizen) of using a public data feed, as well as how to serve up the queries. Requirements: This workshop is intended primarily for beginner or intermediate programmers interested in learning how to build a location-aware application. Instruction and support materials will be provided in Python. Attendees are welcome to use any language/system of their choice but limited assistance will be available. Attendees should be comfortable with setting up a multiple file development project and familiar with the basics of client-server programming. Attendees should also be familiar with the basics of pulling and running Docker containers. Attendees should bring a laptop with the following software installed: * Text Editor or IDE of their choice * Python 3.6.0 (or later) interpreter * Docker Community Edition (support materials will be provided as a container)
This presentation will talk about the Wikipedia efforts to build a map service based on OpenStreetMap, the current result and capabilities. It will also demo Sophox, a new service that contains up-to-date copy of Wikidata and OpenStreetMap in a form of an RDF databases, accessible with SPARQL. The service builds on top of the existing Wikidata Query Service.
As we reach new heights in automation and AI in mapping, the human stories behind maps keep us grounded and true to the spirit of the first explorers. In today's world, we temper the competitive nature of mapping by acknowledging that no single player can map the world -- we instead harness technology to do it together. This talk walks through real world examples of how computer vision and human collaboration creates better maps.
Discover a few open source tools used at Bloomberg to build enterprise mapping applications for the financial industry, such as the CartoDB open source GIS platform and PostGIS Postgres extension for geospatial data and analytics. This talk will give a technical overview of each technology to introduce some of the building blocks of an enterprise GIS application. Afterwards, we'll deep dive into an industry use case with an interactive Jupyter Notebook demo.
Food deserts. Bank deserts. Education Deserts. We've heard the terms, but how can we help? Perhaps the first step is to identify where these deserts exist. Using a combination of technologies including Python, Pandas, the Google Places API, Matplotlib, and Tableau, along with publicly available data from the US Census -- our speaker will demonstrate how fairly simple code can be used to quickly scan the United States for pockets of access inequality. Audience members with basic experience in Python will have an opportunity to follow along, while audience members new to coding can learn the fundamentals of what's possible using an API-driven approach to analyzing social phenomena.
We'll be posting any News or update here, so please stay tuned for any important announcements.
Our venue is Convene's midtown NYC location at 730 3rd Ave, where we'll be hosting along with other Open Camps events. We'll be posting further venue details here as the event approaches, including access and check-in procedures.