Best part in the guidelines! "License Raj" is to be dismantled...
A Logical move! I personally learned many defense areas because they appeared black in satellite images 🤣
The biggest draw back with the policy is that it doesnt talk about opening up of data and instead talks about fair pricing. "Fair" pricing is very subjective and it might not be acheivable in public funds as it doesnt follow market rules of demand and supply for efficient pricing
Many public datasets are sold in three tier format!
i.e 1. Tax payer's money used to create dataset 2. Tax payer is expected to buy the same which was funded with tax money already 3. Tax payer has to pay GST for this data for which the tax payer had paid twice already!
Without good quality attribute data, location data can be useless. The guidelines should have touched on regulation to enforce a minimum set of attributes for different datasets. There's no point in sharing location of schools without providing other info like no of teachers ...
Beyond the guidelines, we should not be focussing on the wars between Google and other companies. all of these are for- profit private players; Nothing more! We should figure out what is good for our people rather than getting involved in these squabbles
India should move towards opening up publicly funded data. Every day we delay in this is going to affect our progress.
Open Data has been doing wonders across the world. There are even researches talking about the effect of opening data
Also we need to focus on community mapping initiatives. Guidelines talk about crowd sourcing but it is not same as community mapping. We need to empower and fund communities to map their world!
For now guidelines have answered many problems that are plaguing the industry. But we should not limit this to the benefits that would be enjoyed by private players. We should do more that would help our society to progress!
Open the data and see the magic it would do...
There are few other topics that I haven't touched :) May be I will do a follow up article.
For now - if you have come this far then you should be rewarded with something. Here's a half baked visualization of Mumbai's terrain 😀
• • •
Missing some Tweet in this thread? You can try to
force a refresh
A Kutty (Short) Story with Satellite Images about a hamlet near Tirunelveli, #TamilNadu
In 2003, the hamlet can be seen (marked in orange). It is next to Tirunelveli - Madurai railway line. There's a crossing (marked in black) through which people went to the nearby main road
Around 2018, Railways decided to build an underpass for this village so that they can double track this corridor. Concrete boxes can be seen in the image
And they started constructing the underpass by digging as seen in this satellite image
This man who is part of a national media network has published a wrong map of India as per Indian law. It shows parts of Ladakh which were ceded by Pakistan to China and around Siachen as "not part" of India.
#Thread: Map preparation is an easy job but meaningfull interpretation of spatial data & analysis behind maps is NOT. It requires good understanding of data & their representation of ground reality
Snapshot of misleading/fake correlation that has been circulating
1/n
The fake/misleading correlation implies that the missing people data locations in US correlates with location of Caves in US (indicating that they went missing in caves)
Map in top claims to be missing people location
Bottom Map is cave location
Discussing why its not real
2/n
The original version of the map (in top) is not representing all missing people in US but infact a rough representation of people gone missing in National parks, remote areas alone (where caves are there anyway) i.e no data from cities or other rural places