Pallavi Anderson

data-driven and context-aware

Realtime Maps With Meteor and Leaflet - Part Two

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this is a Leaflet map with DivIcon markers

Recap

In the last post, I initialized a Leaflet map to work with Stamen Design’s toner themed map tiles and Bootstrap’s responsive layout. I then set up a double-click event handler to gather additional details about the new party, and hooked up the dialog’s save button to pass those details to a Meteor.methods() call to save the party into a server-side mongo collection. Finally, I hooked up a cursor.observe() added() callback to the client-side minimongo collection and set up the callback to automatically add a circular DivIcon marker at the specified coordinates.

Realtime Maps With Meteor and Leaflet - Part One

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this ‘map’ is actually a static image

The parties example bundled with Meteor is a nifty demonstration of the framework’s core principles, but it uses a 500 x 500 pixel image of downtown San Francisco as a faux map. This means that we cannot pan or zoom the “map,” and when we double-click the image to create new parties, the circle markers are drawn at the position of the clicks in relation to the image element in the browser window, and not at geospatial coordinates.

The Connection Between Google Glasses and Self-driving Humanoids

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Adrian Holovaty recently wrote about the connection between Google Street View and driverless cars. Towards the end, he wondered whether the decision to record all sensor / locational metadata along with pictures came before the idea of using it to train machine learning algorithms (or vice versa). I’d apply Occam’s razor here — i.e., I’m pretty certain the idea of capturing the data came first.

But what’s more interesting is that it presents a whole new angle on what Project Glass enables: Widespread lifelogging by humans (and not just cars) to cloud-based storage. Add offline speech to text, face recognition, OCR, etc. and you have prosthetic memory.

A tiny step towards “self-driving” humanoids.

Hello Meteor!

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Here are the slides from my JS.Chi() talk on Meteor. I will follow up with posts expanding on most of the slides in the presentation. This post, however, is for the benefit of all those who are feeling like they might be missing a step with frameworks like Backbone, Ember, (and now Meteor), et. al. It is an overview of the types of problems they’re solving and includes recommendations for further reading.