Add geospatial spatial-autocorrelation review assistant

geospatial-spatial-autocorrelation-assistant/.gitignore

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+reports/frames/

geospatial-spatial-autocorrelation-assistant/README.md

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+# Geospatial Spatial-Autocorrelation Review Assistant
+
+Self-contained reviewer utility for SCIBASE issue #16, AI-Powered Research Assistant Suite. It reviews synthetic geospatial manuscript packets before AI peer-review, reproducibility, or research-gap recommendations are released to researchers.
+
+## What It Checks
+
+- Coordinate reference system and analysis projection evidence.
+- Invalid or over-precise coordinates for sensitive human-subject or protected-location studies.
+- Spatial train/test leakage from nearby train and holdout samples.
+- High Moran's I paired with random validation splits.
+- Preprocessing fitted on the full dataset for spatial covariates.
+- Test-set tuning, missing external spatial validation, stale covariate windows, and missing raster/vector source metadata.
+- Reproducibility artifacts: data manifest, code commit, environment spec, and spatial block map.
+- Research-gap prompts for under-sampled regions and missing spatial validation benchmarks.
+
+## Why This Is Distinct
+
+Existing #16 work covers broad assistant orchestration, evidence binding, structured abstracts, randomization/blinding, survival analysis, missing-data sensitivity, causal adjustment, genomic/proteomics/single-cell review, and related peer-review checks. Existing #17 geospatial work validates sample-provenance graph edges. This module is a separate #16 peer-review layer for manuscript-method validity: spatial autocorrelation, blocked validation, coordinate/projection evidence, and geography-aware reproducibility.
+
+## Usage
+
+```bash
+npm run check
+npm test
+npm run demo
+npm run verify-video
+```
+
+Generated reviewer artifacts are written to `reports/`:
+
+- `risky-audit.json`
+- `clean-audit.json`
+- `risky-review.md`
+- `summary.svg`
+- `demo.mp4`
+
+## API
+
+```js
+const {
+  evaluateGeospatialReviewPacket,
+  renderMarkdownReport,
+  renderSvgSummary
+} = require("./index");
+```
+
+The evaluator returns a deterministic status (`READY`, `REVIEW`, or `HOLD`), finding counts, manuscript decisions, reproducibility scores, remediation actions, research-gap opportunities, and a stable fingerprint.

geospatial-spatial-autocorrelation-assistant/demo.js

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+"use strict";
+
+const fs = require("node:fs");
+const path = require("node:path");
+const {
+  evaluateGeospatialReviewPacket,
+  renderMarkdownReport,
+  renderSvgSummary
+} = require("./index");
+const { riskyPacket, cleanPacket } = require("./sample-data");
+
+const reportsDir = path.join(__dirname, "reports");
+fs.mkdirSync(reportsDir, { recursive: true });
+
+const now = "2026-06-01T10:30:00.000Z";
+const risky = evaluateGeospatialReviewPacket(riskyPacket, { now });
+const clean = evaluateGeospatialReviewPacket(cleanPacket, { now });
+
+fs.writeFileSync(path.join(reportsDir, "risky-audit.json"), `${JSON.stringify(risky, null, 2)}\n`);
+fs.writeFileSync(path.join(reportsDir, "clean-audit.json"), `${JSON.stringify(clean, null, 2)}\n`);
+fs.writeFileSync(path.join(reportsDir, "risky-review.md"), renderMarkdownReport(risky, riskyPacket));
+fs.writeFileSync(path.join(reportsDir, "summary.svg"), renderSvgSummary(risky));
+fs.writeFileSync(
+  path.join(reportsDir, "manifest.json"),
+  `${JSON.stringify(
+    {
+      generatedAt: now,
+      artifacts: [
+        "risky-audit.json",
+        "clean-audit.json",
+        "risky-review.md",
+        "summary.svg",
+        "demo.mp4"
+      ],
+      riskyStatus: risky.status,
+      cleanStatus: clean.status,
+      riskyFingerprint: risky.fingerprint,
+      cleanFingerprint: clean.fingerprint
+    },
+    null,
+    2
+  )}\n`
+);
+
+console.log(`Risky packet: ${risky.status} (${risky.findings.length} findings)`);
+console.log(`Clean packet: ${clean.status} (${clean.findings.length} findings)`);
+console.log(`Wrote reports to ${reportsDir}`);