isomap | Isometric Tile Map Model & Viewer

by msteiger Java Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | isomap Summary

isomap is a Java library. isomap has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

Isometric Tile Map Model & Viewer.

Support

Quality

Security

License

Reuse

Support

isomap has a low active ecosystem.

It has 0 star(s) with 1 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 8 open issues and 8 have been closed. On average issues are closed in 9 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of isomap is current.

Quality

isomap has 0 bugs and 0 code smells.

Security

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

isomap code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

isomap does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

isomap releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

It has 1931 lines of code, 188 functions and 41 files.

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

Top functions reviewed by kandi - BETA

kandi has reviewed isomap and discovered the below as its top functions. This is intended to give you an instant insight into isomap implemented functionality, and help decide if they suit your requirements.

Read a tileset from an input stream .
Reads a hex image .
Determines the bounds of the tile in the specified region
Load the terrain data from a stream .
Returns the tile at the specified world coordinate .
Compare two triples
Generate random index for the map .
Zoom to the world
Checks if overlay pattern is ok
Opens a stream for writing to a single file .

Get all kandi verified functions for this library.

isomap Key Features

No Key Features are available at this moment for isomap.

isomap Examples and Code Snippets

No Code Snippets are available at this moment for isomap.

Community Discussions

Trending Discussions on isomap

Is there a way to add species to an ISOMAP plot in R?

How to compute/extract the residual variance from an Isomap [vegan] model in R

QUESTION

Is there a way to add species to an ISOMAP plot in R?

Asked 2022-Mar-06 at 20:22

I am using the isomap-function from vegan package in R to analyse community data of epiphytic mosses and lichens. I started analysing the data using NMDS but due to the structure of the data ran into problems which is why I switched to ISOMAP which works perfectly well and returns very nice results. So far so good... However, the output of the function does not support plotting of species within the ISOMAP plot as species scores are not available. Anyway, I would really like to add species information to enhance the interpretability of the output.

Does anyone of you has a solution or hint to this problem? Is there a way to add species kind of post hoc to the plot as it can be done with environmental data?

I would greatly appreciate any help on this topic!

Thank you and best regards, Inga

...

ANSWER

Answered 2022-Mar-06 at 20:22

No, there is no function to add species scores to isomap. It would look like this:

Source https://stackoverflow.com/questions/71348723

QUESTION

How to compute/extract the residual variance from an Isomap [vegan] model in R

Asked 2020-Jun-16 at 14:59

I am currently trying to understand how Isomap results will differ from PCA and MDS and if they are more suited for my data. For this I started to work with the isomap function provided by vegan in R using the BCI dataset and their basic example https://www.rdocumentation.org/packages/vegan/versions/2.4-2/topics/isomap (code below). Several publications compare the residual variance as a good measure (e.g. the "original paper by Tenenbaum from 2002, pg. 2321) https://web.mit.edu/cocosci/Papers/sci_reprint.pdf However, so far I have failed to extract this information from the object "ord" in the example. There is this element ord[["eig"]], probably connected to it, but so far I am confused. Help would be much appreciated!

...

ANSWER

Answered 2020-Jun-16 at 14:59

So I did some further investigation on this topic.

Essentially there will be as many Eigenvalues in the dataset as variables. The Eigenvals will be covered in the new components or dimensions according to their explanatory power, the first component or dimension will usually explain most i.e. have the largest Eigenvalue. Eigenvalues of 1 explain just one variable, which is pretty boring. Mathematically, Eigenvalues are the sum of squared factor loadings.

For Isomap from the example above ,this can be as follows:

Source https://stackoverflow.com/questions/62308710

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

Vulnerabilities

No vulnerabilities reported

Install isomap

You can download it from GitHub.
You can use isomap like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the isomap component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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