### Quick Start with GeoDetector

Source: https://github.com/djw-easy/geodetector/blob/main/README.md

Demonstrates loading example data and initializing the GeoDetector. Automatically detects discrete columns as factors if 'factors' is not provided.

```python
from geodetector import load_example_data, GeoDetector

# Load example disease dataset
df = load_example_data()

# Initialize: Automatically detects discrete columns as factors if 'factors' is not provided
gd = GeoDetector(df, y='incidence')
print(f"Detected factors: {gd.factors}")
```

--------------------------------

### Load Example Data

Source: https://github.com/djw-easy/geodetector/blob/main/example.ipynb

Load a sample dataset for demonstration purposes.

```python
df = load_example_data()
df.head()
```

--------------------------------

### Install py-geodetector

Source: https://github.com/djw-easy/geodetector/blob/main/README.md

Install the py-geodetector package using pip.

```bash
pip install py-geodetector
```

--------------------------------

### Factor Detector Usage

Source: https://github.com/djw-easy/geodetector/blob/main/README.md

Shows how to perform batch detection for all factors or single factor detection, returning q-value and p-value.

```python
# 1. Factor Detector
# Batch detection for all factors
factor_df = gd.factor_detector()
# Single factor detection: returns (q_value, p_value)
q, p = gd.factor_detector('type')
```

--------------------------------

### Interaction Detector Usage

Source: https://github.com/djw-easy/geodetector/blob/main/README.md

Demonstrates calculating the full interaction matrix or pairwise detection with relationship descriptions.

```python
# 2. Interaction Detector
# Full matrix calculation
interaction_df = gd.interaction_detector()
# Pairwise detection with relationship description
q_inter, relationship = gd.interaction_detector('type', 'region', relationship=True)
```

--------------------------------

### Import GeoDetector Library

Source: https://github.com/djw-easy/geodetector/blob/main/example.ipynb

Import necessary functions from the geodetector library.

```python
from geodetector import load_example_data, GeoDetector
```

--------------------------------

### Initialize GeoDetector

Source: https://github.com/djw-easy/geodetector/blob/main/example.ipynb

Initialize the GeoDetector with a DataFrame and the dependent variable.

```python
gd = GeoDetector(df, 'incidence')
print(f"Detected factors: {gd.factors}")
```

--------------------------------

### Perform Risk Detection

Source: https://github.com/djw-easy/geodetector/blob/main/example.ipynb

Perform risk detection analysis for all factors.

```python
risk_result = gd.risk_detector()
```

--------------------------------

### Risk Detector Usage

Source: https://github.com/djw-easy/geodetector/blob/main/README.md

Demonstrates using the Risk Detector to compare average Y between sub-groups of a factor and prints the mean values for each stratum.

```python
# 4. Risk Detector
# Compare average Y between sub-groups of a factor
risk_result = gd.risk_detector('type')
print(risk_result['risk']) # Mean values for each stratum
```

--------------------------------

### Ecological Detector Usage

Source: https://github.com/djw-easy/geodetector/blob/main/README.md

Shows how to use the Ecological Detector to determine if the impact of two factors are significantly different.

```python
# 3. Ecological Detector
# Determine if the impact of two factors are significantly different
eco_df = gd.ecological_detector()
```

--------------------------------

### Visualization with Plot Method

Source: https://github.com/djw-easy/geodetector/blob/main/README.md

Generates an interaction heatmap with statistical significance markers. Red markers indicate significant ecological difference.

```python
# 5. Visualization
# Plot interaction heatmap (red markers indicate significant ecological difference)
gd.plot(factors=['type', 'region', 'level'])
```

--------------------------------

### Factor Detection for Multiple Factors

Source: https://github.com/djw-easy/geodetector/blob/main/example.ipynb

Perform factor detection for a list of specified factors.

```python
gd.factor_detector(['type', 'region'])
```

--------------------------------

### Perform Interaction Detection

Source: https://github.com/djw-easy/geodetector/blob/main/example.ipynb

Detect interactions between all pairs of factors.

```python
gd.interaction_detector()
```

--------------------------------

### Risk Detection for a Specific Factor

Source: https://github.com/djw-easy/geodetector/blob/main/example.ipynb

Perform risk detection and access the 'risk' results for a specific factor.

```python
gd.risk_detector('type')['risk']
```

--------------------------------

### Ecological Detection for All Factors

Source: https://github.com/djw-easy/geodetector/blob/main/example.ipynb

Detect ecological interactions among all specified factors.

```python
gd.ecological_detector(factors=['region', 'type', 'level'])
```

--------------------------------

### Interaction Detection for Specific Factors

Source: https://github.com/djw-easy/geodetector/blob/main/example.ipynb

Detect interactions between a specified subset of factors.

```python
gd.interaction_detector(factors=['type', 'region'])
```

--------------------------------

### Plot GeoDetector Results for Specific Factors

Source: https://github.com/djw-easy/geodetector/blob/main/example.ipynb

Generate a plot of the GeoDetector results for a specified subset of factors.

```python
gd.plot(factors=['type', 'region']);
```

--------------------------------

### Interaction Detection with Relationship Type

Source: https://github.com/djw-easy/geodetector/blob/main/example.ipynb

Detect interactions between factors and identify the type of relationship.

```python
gd.interaction_detector(relationship=True)[1]
```

--------------------------------

### Access Risk Detection Results for a Factor

Source: https://github.com/djw-easy/geodetector/blob/main/example.ipynb

Access the 'risk' component of the risk detection results for a specific factor.

```python
risk_result['type']['risk']
```

--------------------------------

### Factor Detection for a Specific Factor

Source: https://github.com/djw-easy/geodetector/blob/main/example.ipynb

Perform factor detection for a single specified factor.

```python
q, p = gd.factor_detector('type')
q, p
```

--------------------------------

### Ecological Detection for Specific Factors (Region vs Type)

Source: https://github.com/djw-easy/geodetector/blob/main/example.ipynb

Detect the ecological interaction between 'region' and 'type'.

```python
gd.ecological_detector('region', 'type')
```

--------------------------------

### Ecological Detection for Specific Factors (Type vs Region)

Source: https://github.com/djw-easy/geodetector/blob/main/example.ipynb

Detect the ecological interaction between 'type' and 'region'.

```python
gd.ecological_detector('type', 'region')
```

--------------------------------

### Plot GeoDetector Results

Source: https://github.com/djw-easy/geodetector/blob/main/example.ipynb

Generate a plot of the GeoDetector results with custom font sizes.

```python
gd.plot(value_fontsize=14, tick_fontsize=16, colorbar_fontsize=14);
```

--------------------------------

### Interaction Detection for Two Specific Factors

Source: https://github.com/djw-easy/geodetector/blob/main/example.ipynb

Detect the interaction effect between two specific factors.

```python
gd.interaction_detector('type', 'region')
```

--------------------------------

### Interaction Detection for Two Factors with Relationship

Source: https://github.com/djw-easy/geodetector/blob/main/example.ipynb

Detect the interaction effect between two specific factors and its relationship type.

```python
gd.interaction_detector('type', 'region', relationship=True)
```

--------------------------------

### Perform Ecological Detection

Source: https://github.com/djw-easy/geodetector/blob/main/example.ipynb

Detect the ecological interaction between factors.

```python
gd.ecological_detector()
```

--------------------------------

### Ecological Detection for Multiple Factors

Source: https://github.com/djw-easy/geodetector/blob/main/example.ipynb

Detect ecological interactions among a specified list of factors.

```python
gd.ecological_detector(factors=['type', 'region'])
```

--------------------------------

### Perform Factor Detection

Source: https://github.com/djw-easy/geodetector/blob/main/example.ipynb

Detect the influence of all factors on the dependent variable.

```python
gd.factor_detector()
```

--------------------------------

### Access T-test Results from Risk Detection

Source: https://github.com/djw-easy/geodetector/blob/main/example.ipynb

Access the 'ttest_stra' component of the risk detection results, showing t-test comparisons between factor levels.

```python
risk_result['type']['ttest_stra']
```

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