morganherlocker

8 ms·

31.
by morganherlocker 5y ago
This is likely the paper you are referring to: https://www.nature.com/articles/srep01376 It states that 95% of people can be identified from just 4 location samples.
32.
by morganherlocker 5y ago
Along with dynamic rendering mentioned in other comments, vector data is sparse, so bandwidth is basically zero past a certain (surprisingly low) zoom. Raster tiles are a dense data structure, so you need to bake tiles to the maximum allowe
33.
by morganherlocker 6y ago
Conflation is a huge accessibility concern and it’s not possible to mandate cross-government without some unified international government body. Even within the US, spatial data conflation is a major technical and political problem at the f
34.
by morganherlocker 6y ago
As an EM, 20% of time spent on project management sounds about right. What you are overlooking is the time spent managing the people on a team. Hiring, recruiting, promotions, coordinating parental leave, working out visas with immigration
35.
by morganherlocker 6y ago
If you want stable, long lifespan software, this is exactly how you do it. You are also careful to only build on layers of abstraction that are also designed with this mindset. Yes, it limits what you can do and which features you can rely
36.
by morganherlocker 6y ago
I had a similar experience with the couchsurfing community 6 or 7 years ago. Beyond the basic hosting concept, there was also a large group of people who would meet up regularly in my city, which made it really easy to find activities for t
37.
by morganherlocker 6y ago
To be fair, contraction hierarchies are inflexible for exactly the reasons OP described. CRP (aka multi-level dijkstra) is more flexible, but there's always a trade off between query speed, pre-process/weight-update speed, and rou
38.
by morganherlocker 7y ago
> For example, do Uber and Lyft need machine learning? Anyone doing large scale ETA prediction and routing these days is using ML models at various phases in the pipeline, from GPS noise filtering to road network data generation. You mig
39.
by morganherlocker 7y ago
Sometimes I like to alternate between two features or bug fixes just to stay motivated with a bit of variety. It does break the kanban spirit a bit, but I avoid allowing anything to hang out too long in the “in progress” column to prevent p
40.
by morganherlocker 7y ago
I use github issues with custom tags (bug, feature, docs, tests, etc). I am not too picky about what goes into the issue list, as long as it has a good title and description. I use a github project board to prioritize what to work on with a
41.
by morganherlocker 7y ago
I implemented something like this a couple years ago and the geometry files used for timezone lookup were surprisingly large (~200 MB at decent precision)! I ended up simplifying the geometries drastically to minimize data requirements and
42.
by morganherlocker 7y ago
This would not provide very much privacy protection at all. Almost all trips will be unique with this level of granularity, so it will be easy to de-anonymize. I do privacy research with this type of data and have found numerous sources tha
43.
by morganherlocker 7y ago
This is not quite incorrect. Some of the NYC taxi re-id demonstrations relied on reversing the hash for medallions, but most have not. In particular, the celebrity tracking did not require the medallion, since each record contains an origin
44.
by morganherlocker 7y ago
The collection in LA does include some car services, although not necessarily ride share yet. The collection protocol is designed for multimodal surveillance beyond scooters.
45.
by morganherlocker 7y ago
Municipalities need to comply with state law. In this case, CalECPA gives California residents a number of protections with respect to location data collection by government agencies. Generally speaking, collection is allowed when either a
46.
by morganherlocker 7y ago
Read up on differential privacy and k-anonymization. There are commonly implemented best practices for measuring and preserving anonymity in a dataset in non-reversible ways. It usually involves aggregating clusters of data and dropping clu
47.
by morganherlocker 7y ago
This does not work for most location datasets. It is easy to Re identify users in this type of dataset with a few lines of code. The identifying information is embedded in the locations and time stamps themselves. Research shows 4 randomly
48.
by morganherlocker 7y ago
Agree to disagree on this example I guess. "household" is referred to in the bill when defining re-identification, and this is an important improvement over the language in GDPR, especially when it comes to geolocation data, which
49.
by morganherlocker 7y ago
No argument there; just pointing out that many of the common complaints around ambiguity are explicitly addressed in the text of the bill already.
50.
by morganherlocker 7y ago
Location data is explicitly called out as sensitive personal information in the text of the bill, so it's definitely not exempt as a category of data. > (e) Many businesses collect personal information from California consumers. The
51.
by morganherlocker 7y ago
... and if you plan to handle this type of highly sensitive data, you should be prepared to provide some basic levels of compliance, including appropriate auditing of sensitive data along with informed consent from users.
52.
by morganherlocker 7y ago
Lot's of (mis)information floating around regarding CCPA. I recommend taking the time to read the actual text[1]. The text is not particularly long or dense. There has been a lot of speculation about complex compliance procedures, but
53.
by morganherlocker 7y ago
I went as a kid and recall locals often having snowmobiles as well.
54.
by morganherlocker 7y ago
Maps involve a wide range of these. Navigation involves a lot of computational geometry mixed with graph theory. Telematics deals with signal processing and machine learning. Cartography mixes GIS with rendering algorithms. The need for hig
55.
by morganherlocker 7y ago
> I for one prefer the rise of the police state. Have you been to China lately? Amazingly safe. So is the US. Meanwhile, China is already using their facial recognition technology to track ethnic and religious minorities and is currently
56.
by morganherlocker 7y ago
Other articles in this NYT series describe how location data is used for similar types of inference. Many of these systems are nearly impossible to opt out of, since they rely on deep rooted tech, like cell carrier chipsets, credit purchase
57.
Mapping Consensus: decentralized mapping algorithm strategies(morganherlocker.com)
8 points by morganherlocker 8y ago|0 comments
58.
by morganherlocker 8y ago
Not at this time. It's an awesome project, but we started developing our traffic engines around the same time and needs quickly diverged. We do try to open source many of the low level pieces of our model as reusable libraries whenever
59.
by morganherlocker 8y ago
Our traffic data is generated in house using anonymized location telemetry from our SDKs, much like most other traffic providers. The live speed predictions we generate for congestion and ETA models are competitive globally, providing the m
60.
by morganherlocker 8y ago
Along with what others have noted, there is also risk associated with insulin therapy from hypoglycemia (low blood sugars). Low blood sugars can be deadly for type I diabetics, killing as many as 1 in 10[1]. This is at least one of the fact

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