rasterframes | Geospatial Raster support for Spark DataFrames

by locationtech Jupyter Notebook Version: 0.11.1 License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | rasterframes Summary

rasterframes is a Jupyter Notebook library typically used in Big Data, Pandas, Spark applications. rasterframes has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

RasterFrames brings together Earth-observation (EO) data access, cloud computing, and DataFrame-based data science. The recent explosion of EO data from public and private satellite operators presents both a huge opportunity as well as a challenge to the data analysis community. It is Big Data in the truest sense, and its footprint is rapidly getting bigger. RasterFrames provides a DataFrame-centric view over arbitrary raster data, enabling spatiotemporal queries, map algebra raster operations, and compatibility with the ecosystem of Spark ML algorithms. By using DataFrames as the core cognitive and compute data model, it is able to deliver these features in a form that is both accessible to general analysts and scalable along with the rapidly growing data footprint. Please see the Getting Started section of the Users' Manual to start using RasterFrames.

Support

Quality

Security

License

Reuse

Support

rasterframes has a low active ecosystem.

It has 210 star(s) with 46 fork(s). There are 15 watchers for this library.

It had no major release in the last 12 months.

There are 121 open issues and 208 have been closed. On average issues are closed in 133 days. There are 8 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of rasterframes is 0.11.1

Quality

rasterframes has 0 bugs and 0 code smells.

Security

rasterframes has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

rasterframes code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

rasterframes is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

rasterframes releases are available to install and integrate.

Installation instructions are not available. Examples and code snippets are available.

It has 21242 lines of code, 2219 functions and 304 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of rasterframes

Get all kandi verified functions for this library.

rasterframes Key Features

No Key Features are available at this moment for rasterframes.

rasterframes Examples and Code Snippets

No Code Snippets are available at this moment for rasterframes.

Community Discussions

Trending Discussions on rasterframes

RasterFrames extracting location information problem

QUESTION

RasterFrames extracting location information problem

Asked 2019-Aug-02 at 13:04

Is there a way to extract/query latitude, longitude and elevation data from a tif file using RasterFrames (http://rasterframes.io/)?

Following the documentation, I did loadRF a tif file from the following site: https://visibleearth.nasa.gov/view.php?id=73934, however all I can see is generic information and don't know which RasterFunction to use in order to extract position and elevation or any other relevant information. I did try everything I can find in the API.

I did also try to extract temperature information using the following source as well: http://worldclim.org/version2

All I get is tile column with DoubleUserDefinedNoDataArrayTile and boundary (extend or crs).

RasterStack in R can extract this information according to this blog: https://www.benjaminbell.co.uk/2018/01/extracting-data-and-making-climate-maps.html

I need a more granular DataFrame such as lat,lon,temperature(or whatever data is embedded into the tif file).

Is this possible with RasterFrames or GeoTrellis?

...

ANSWER

Answered 2019-Aug-02 at 13:04

The long story short - yes, it is possible (at least with GeoTrellis). It is also possible with RasterFrames, I suppose, but will require some time to figure out how to extract this data. I can't answer more detailed since I need to know more about the dataset and about the pipeline you want to perform and apply.

Source https://stackoverflow.com/questions/56913645

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install rasterframes

You can download it from GitHub.

Support

Community contributions are always welcome. To get started, please review our contribution guidelines, code of conduct, and reach out to us on gitter so the community can help you get started!. RasterFrames is part of the LocationTech Stack. It is written in Scala, but with Python bindings. If you wish to contribute to the development of RasterFrames, or you wish to build it from scratch, you will need sbt. Then clone the repository from GitHub.

Find more information at: