point-location | point location in planar subdivisions | Learning library

Is there a way to specify weights in relrisk.ppp function in spatstat (version 1.63-3)?

The relrisk.ppp function calls the density.ppp function, which does allow users to specify their own weights.

For example, let us build upon the provided spatstat.data::urkiola data where, instead of individual trees, the locations are tree stands and we have a second numeric mark for the frequency of trees at each point-location:

I am new to Spark Structured Streaming processing and currently working on one use case where the structured streaming application will get the events from Azure IoT Hub-Event hub (say after every 20 secs).

The task is to consume those events and process it in real time manner. For this I have written below Spark Structured streaming program in Spark-Java.

Below are the important points

1. Currently I have applied the window operation with 10 minutes interval and with 5 minutes sliding window.
2. The watermark is applied on eventDate parameter with 10 minutes interval.
3. Currently I am not performing any other operation and just storing it in specified location in Parquet format.
4. The program is storing the one event in one file.

Questions:

1. Is it possible to store multiple events in parquet format in a file based on the window time?
2. How does the window operation works in this case?
3. Also I would like to check the event state with previous event and based on some calculations (say event is not received by 5 minutes) I want to update the state.

...

Here I am again, with another Highmaps query…. I’m getting there with it all, but… I want now to use the drilldown feature to bring up a custom “sub-map”, and onto that I want to add – dynamically – a number of point-locations )eg towns within a region) at specified point sn the map, which will show relevant data in the tooltip on rollover...

The js fiddle below shows the basic idea, though the drilldown “data” is clearly not what is required ... somehow each drilldown must show the relevant map outline (not the same one used here for each) and then somewhere I need to add the locations, their position on the map, and some data for each.

I don’t expect anyone to be able to use this to create a working fiddle, but if you could just point me in the right direction I’d be grateful – I’m sure I can get there in the end if nudged…

jsfiddle: https://jsfiddle.net/philu/8v7xbLoy/5/

I have a list of points P=[p1,...pN] where pi=(latitudeI,longitudeI).

Using Python 3, I would like to find a smallest set of clusters (disjoint subsets of P) such that every member of a cluster is within 20km of every other member in the cluster.

Distance between two points is computed using the Vincenty method.

To make this a little more concrete, suppose I have a set of points such as

I am trying to convert a file (csv.gz format) into parquet using streaming data frame. I have to use streaming data frames because the files compressed are ~700 MB in size. The job is run using a custom jar on AWS EMR. The source, destination and checkpoint locations are all on AWS S3. But as soon as I try to write to checkpoint the job fails with following error: