[1.0.0] MCDA

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Assessment

Difficulty
5/5
Estimated time
Over a week
Newbie friendliness
30/100
Issue type
Feature
Clarity
Needs clarification
Activity status
Quiet
Tech stack
python
Domain
data

Research direction

Start with the README feature matrix and the modules under xrspatial/mcda/, then read the unresolved decisions in #2930. Run the mentioned /deep-sweep xrspatial/mcda and review accuracy, security, performance, and API consistency findings. Done means the public surface, dark-corner decisions, sweeps, and notebook example are all cleared.

Written by the indexing model from the issue text.

Description

1.0.0-tracking area:mcda

1.0.0 readiness: MCDA

Area: MCDA Functions: standardize, ahp_weights, rank_weights, wlc, wpm, owa, fuzzy_overlay, boolean_overlay, constrain, sensitivity
Source: xrspatial/mcda/

Scope
  • Public surface frozen against the README feature matrix
  • Dark-corner decisions resolved (see #2930)
Sweep clearance, no CRITICAL or HIGH (accuracy and security first)
  • Accuracy /deep-sweep xrspatial/mcda
  • Security
  • Performance
  • API consistency

Last swept: none yet

Examples
  • Notebook example
  • (optional) standalone script
Linked bug issues

none yet

Dominant language
Python
Stars
972
Forks
92
Avg merge
2d 12h
Merged PRs (30d)
7

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

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