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Dingxi (Chinese: 定西; pinyin: Dìngxī), also known as Longyou (Chinese: 陇右; pinyin: Lǒngyòu) is a prefecture-level city in the southeast of Gansu province, People's Republic of China. As of the 2020 census, its population was 2,524,097 inhabitants, of which 422,383 lived in the built-up (or metro) area made of Anding urban district.
The analysis highlights History, Geography, Culture and Economy as prominent areas in the source structure around Dingxi.
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
The extracted context around Dingxi shows recurring relationship patterns in the source. For example, Dingxi → Agriculture, Although, China, China's, Chinese, Dingxi's, Dingxi's Anding County, Especially, Gansu, Potato, Potato Capital, Sichuan Pepper, There, Up, Zanthoxylum Another extracted example is Dingxi → After, Dingxi City, Even, Gansu, Lanzhou, Qianlong Emperor, The, The Wei River, Yellow River. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
gansu province area china district also city anding urban chinese important mi prefecture-level people's republic 524 097 metro one dingxi's
TTTA extracted 55 structured relationships around Dingxi. Examples in this analysis include Dingxi → Country → People's Republic of China and Dingxi → ISO 3166 code → CN-GS-11. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Dingxi | Country | People's Republic of China | 1.00 | infobox |
| Dingxi | ISO 3166 code | CN-GS-11 | 1.00 | infobox |
| Dingxi | Municipal seat | Anding District | 1.00 | infobox |
| Dingxi | Province | Gansu | 1.00 | infobox |
| Dingxi | Time zone | UTC+8 (China Standard) | 1.00 | infobox |
| Dingxi | • Density | 128.7198/km2 (333.3827/sq mi) | 1.00 | infobox |
| Dingxi | • Metro | 4,225 km2 (1,631 sq mi) | 1.00 | infobox |
| Dingxi | • Metro | 422,383 | 1.00 | infobox |
| Dingxi | • Metro density | 99.97/km2 (258.9/sq mi) | 1.00 | infobox |
| Dingxi | • Per capita | CN¥ 10,987 US$ 1,764 | 1.00 | infobox |
| Dingxi | • Prefecture-level city | 19,609.24 km2 (7,571.17 sq mi) | 1.00 | infobox |
| Dingxi | • Prefecture-level city | 2,524,097 | 1.00 | infobox |
| Dingxi | • Prefecture-level city | CN¥ 30.5 billion US$ 4.9 billion | 1.00 | infobox |
| Dingxi | • Urban | 4,225 km2 (1,631 sq mi) | 1.00 | infobox |
| Dingxi | • Urban | 422,383 | 1.00 | infobox |
| Dingxi | • Urban density | 99.97/km2 (258.9/sq mi) | 1.00 | infobox |
The concept neighborhoods around Dingxi bring nearby vocabulary together. In this analysis, examples include Gansu, Province and China. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Dingxi, one of the stronger structural bridges in this analysis connects Dingxi with Geography. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Dingxi to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Geography, Culture & Economy, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Dingxi · EN edition · Analysis: TopicsToTalkAbout