Step 3 · attractions
Industries recorded: NULL
Tags: 均衡型
25 attractions from our own Lingshui dataset, each with its Chinese name and an English name. Every row below is a candidate for a Chinese lesson; none of them has one yet.
The dish side of 陵水黎族自治县: what the city is known for and the food score that feeds the opportunity model.
招牌菜 待补充 — no dish list in the scored row for this city.
美食点位 待补充 — no food rows harvested for this city yet.
Where 陵水黎族自治县 stands: how many people, what it makes, what it is known for, how it is governed and how well it feeds people — and the composite opportunity score our engine derives from those eight dimensions.
central.city_opportunities (row 陵水黎族自治县). Re-derived from the eight dimensions below: 10 — DOES NOT MATCH.| Dimension | Score | Weight | Contribution |
|---|---|---|---|
| Economy scale (GDP) 经济规模 | 0 | 14% | 0 |
| Growth potential 增长潜力 | 0 | 14% | 0 |
| GDP per head 人均经济 | 0 | 20% | 0 |
| Industry diversity 产业多样性 | 0 | 10% | 0 |
| Signature resources 特色资源 | 0 | 10% | 0 |
| Culture & tourism assets 文旅资源 | 0 | 10% | 0 |
| Policy support 政策优势 | 0 | 10% | 0 |
| Food appeal 美食吸引 | 0 | 12% | 0 |
| Weighted raw score | 0 | ||
score = clamp(10 + (raw - 30.0) / (72.0 - 30.0) * 90, 10, 100)
raw 0 → 待补充/100
score_details as stored in the database row{"经济规模": 0.0, "增长潜力": 0.0, "人均经济": 0.0, "产业多样性": 0.0, "特色资源": 0.0, "文旅资源": 0.0, "政策优势": 0.0, "美食吸引": 0.0}引擎复算 10 分 vs 表内 待补充 分 — engine re-run scores this row 10 today (drifted dimensions: -). The stored row is the published scoring; the drift is shown rather than hidden.
数据状态：缺数据 · 来源：central.city_opportunities
lingshui.json place dataset (25 records harvested from the city POI source, 0 dropped as not matching the city, 25 kept).
Addresses, coordinates and the district name come from that file; the district
was resolved by testing each coordinate against the Lingshui district boundaries we publish as
lingshui_dist.json.
Source. Compiled by InfoGap from its own place database. This page lists 25 places in Lingshui.
What this data is. Each record is one place and carries these fields: Chinese name, English name, district, category, address, latitude, longitude, record index.
Last updated: 2026-09-24
Source: InfoGap · License: CC BY 4.0 (attribution required, link back to this page). Data hub: our data hub · registry.json