Intercity Climate Similarity Network
This module is an advanced tool for analyzing and visualizing climate similarities between cities. It utilizes climate data obtained from APIs and sensors to calculate and visually represent these similarities in a network graph. In the graph, cities are depicted as nodes, while the edges are weighted according to similarity values. This visualization allows for easy analysis of climate similarities between cities.
The module also provides detailed similarity information for city pairs and displays similarities for each category. This enables a comprehensive analysis of climate similarities between cities. The data can be downloaded in raw form or analyzed using a fine-tuned version of Llama3. It allows for the examination of the relationship between geographic location and climatic similarities, as well as the simulation of future climate changes' impacts on cities. Additionally, detailed statistical analyses can be conducted to further explore city relationships. The module offers valuable insights for both urban and rural projects.
The module also provides detailed similarity information for city pairs and displays similarities for each category. This enables a comprehensive analysis of climate similarities between cities. The data can be downloaded in raw form or analyzed using a fine-tuned version of Llama3. It allows for the examination of the relationship between geographic location and climatic similarities, as well as the simulation of future climate changes' impacts on cities. Additionally, detailed statistical analyses can be conducted to further explore city relationships. The module offers valuable insights for both urban and rural projects.
Alpha (90 - 100 Similarity between):
Beta (80 - 89 Similarity between):
Gamma (70 - 79 Similarity between):
City 2 and City 9 Similarity between: 72.89%
City 6 and City 7 Similarity between: 73.23%
City 6 and City 8 Similarity between: 74.78%
City 7 and City 6 Similarity between: 73.23%
City 8 and City 6 Similarity between: 74.78%
City 9 and City 2 Similarity between: 72.89%
Delta (60 - 69 Similarity between):
City 1 and City 3 Similarity between: 66.65%
City 1 and City 7 Similarity between: 62.16%
City 2 and City 5 Similarity between: 64.71%
City 2 and City 6 Similarity between: 63.87%
City 2 and City 8 Similarity between: 60.41%
City 3 and City 1 Similarity between: 66.65%
City 3 and City 5 Similarity between: 63.42%
City 3 and City 7 Similarity between: 67.68%
City 3 and City 9 Similarity between: 65.74%
City 4 and City 10 Similarity between: 68.09%
City 5 and City 2 Similarity between: 64.71%
City 5 and City 3 Similarity between: 63.42%
City 5 and City 9 Similarity between: 63.99%
City 6 and City 2 Similarity between: 63.87%
City 6 and City 10 Similarity between: 64.71%
City 7 and City 1 Similarity between: 62.16%
City 7 and City 3 Similarity between: 67.68%
City 8 and City 2 Similarity between: 60.41%
City 9 and City 3 Similarity between: 65.74%
City 9 and City 5 Similarity between: 63.99%
City 10 and City 4 Similarity between: 68.09%
City 10 and City 6 Similarity between: 64.71%
Epsilon (50 - 59 Similarity between):
City 1 and City 6 Similarity between: 54.82%
City 1 and City 10 Similarity between: 55.45%
City 2 and City 3 Similarity between: 56.36%
City 2 and City 7 Similarity between: 53.80%
City 2 and City 10 Similarity between: 50.96%
City 3 and City 2 Similarity between: 56.36%
City 3 and City 6 Similarity between: 56.11%
City 3 and City 10 Similarity between: 52.83%
City 4 and City 5 Similarity between: 55.87%
City 4 and City 9 Similarity between: 50.39%
City 5 and City 4 Similarity between: 55.87%
City 5 and City 6 Similarity between: 53.48%
City 5 and City 7 Similarity between: 57.95%
City 6 and City 1 Similarity between: 54.82%
City 6 and City 3 Similarity between: 56.11%
City 6 and City 5 Similarity between: 53.48%
City 6 and City 9 Similarity between: 54.29%
City 7 and City 2 Similarity between: 53.80%
City 7 and City 5 Similarity between: 57.95%
City 7 and City 8 Similarity between: 55.85%
City 7 and City 9 Similarity between: 54.18%
City 7 and City 10 Similarity between: 55.89%
City 8 and City 7 Similarity between: 55.85%
City 8 and City 9 Similarity between: 50.42%
City 8 and City 10 Similarity between: 58.23%
City 9 and City 4 Similarity between: 50.39%
City 9 and City 6 Similarity between: 54.29%
City 9 and City 7 Similarity between: 54.18%
City 9 and City 8 Similarity between: 50.42%
City 10 and City 1 Similarity between: 55.45%
City 10 and City 2 Similarity between: 50.96%
City 10 and City 3 Similarity between: 52.83%
City 10 and City 7 Similarity between: 55.89%
City 10 and City 8 Similarity between: 58.23%
Digama (40 - 49 Similarity between):
City 1 and City 2 Similarity between: 41.09%
City 1 and City 4 Similarity between: 47.41%
City 1 and City 5 Similarity between: 40.58%
City 2 and City 1 Similarity between: 41.09%
City 2 and City 4 Similarity between: 45.84%
City 3 and City 4 Similarity between: 41.86%
City 4 and City 1 Similarity between: 47.41%
City 4 and City 2 Similarity between: 45.84%
City 4 and City 3 Similarity between: 41.86%
City 4 and City 6 Similarity between: 45.51%
City 4 and City 7 Similarity between: 48.74%
City 5 and City 1 Similarity between: 40.58%
City 5 and City 8 Similarity between: 43.56%
City 5 and City 10 Similarity between: 45.08%
City 6 and City 4 Similarity between: 45.51%
City 7 and City 4 Similarity between: 48.74%
City 8 and City 5 Similarity between: 43.56%
City 9 and City 10 Similarity between: 47.66%
City 10 and City 5 Similarity between: 45.08%
City 10 and City 9 Similarity between: 47.66%
Zeta (30 - 39 Similarity between):
City 1 and City 9 Similarity between: 36.83%
City 4 and City 8 Similarity between: 37.02%
City 8 and City 4 Similarity between: 37.02%
City 9 and City 1 Similarity between: 36.83%
Eta (20 - 29 Similarity between):
Theta (10 - 19 Similarity between):
Iota (0 - 9 Similarity between):
City Similarity Information
City 1 vs City 2
| Parameter | City 1 | City 2 | Similarity |
|---|---|---|---|
| Temperature | 34.67°C | 12.91°C | -61.77% |
| Humidity | 24.58% | 95.34% | -73.22% |
| Wind Speed | 19.95 km/h | 2.76 km/h | -85.16% |
| Pressure | 966.61 hPa | 974.49 hPa | 0.19% |
| Precipitation | 13.59 mm | 46.18 mm | -69.58% |
City 1 vs City 3
| Parameter | City 1 | City 3 | Similarity |
|---|---|---|---|
| Temperature | 34.67°C | 28.81°C | -15.91% |
| Humidity | 24.58% | 67.86% | -62.78% |
| Wind Speed | 19.95 km/h | 19.84 km/h | 0.49% |
| Pressure | 966.61 hPa | 974.51 hPa | 0.19% |
| Precipitation | 13.59 mm | 89.00 mm | -83.74% |
The other 300 data tables have been removed. The purpose of this information package is to showcase the models that introduce architecture.
General Differences
| Comparison | First Similarity | Second Similarity | Difference |
|---|---|---|---|
| City 1 vs City 2 | 55.60% | 60.91% | 5.31% |
| City 1 vs City 3 | 63.42% | 51.58% | 11.84% |
| City 1 vs City 4 | 58.12% | 58.39% | 0.27% |
| City 1 vs City 5 | 60.19% | 50.11% | 10.08% |
| City 1 vs City 6 | 59.09% | 69.83% | 10.74% |
| City 1 vs City 7 | 68.18% | 45.95% | 22.23% |
| City 1 vs City 8 | 36.30% | 60.38% | 24.08% |
| City 1 vs City 9 | 37.60% | 54.57% | 16.98% |
| City 1 vs City 10 | 51.27% | 69.32% | 18.05% |
| City 2 vs City 1 | 55.60% | 60.91% | 5.31% |
| City 2 vs City 3 | 47.01% | 40.46% | 6.55% |
| City 2 vs City 4 | 39.69% | 39.67% | 0.02% |
| City 2 vs City 5 | 35.55% | 41.28% | 5.73% |
| City 2 vs City 6 | 55.07% | 49.30% | 5.77% |
| City 2 vs City 7 | 50.07% | 46.13% | 3.94% |
| City 2 vs City 8 | -10.01% | 5.62% | 15.63% |
| City 2 vs City 9 | 55.69% | 44.58% | 11.11% |
| City 2 vs City 10 | 58.70% | 55.70% | 3.00% |
The other 300 data tables have been removed. The purpose of this information package is to showcase the models that introduce architecture.
Tests related to general and specific analysis systems and interaction information with other modules will be added in the coming days.