### Inspect R-tree properties and bounding boxes

Source: https://context7.com/dhconnelly/rtreego/llms.txt

Demonstrates how to initialize an R-tree, populate it with spatial objects, and query its internal structure and node bounding boxes.

```go
package main

import (
    "fmt"
    "github.com/dhconnelly/rtreego"
)

type Area struct {
    bounds rtreego.Rect
    name   string
}

func (a *Area) Bounds() rtreego.Rect {
    return a.bounds
}

func main() {
    // Create tree with known parameters
    rt := rtreego.NewTree(2, 2, 4)

    // Insert enough items to create multiple levels
    for i := 0; i < 20; i++ {
        rect, _ := rtreego.NewRect(
            rtreego.Point{float64(i % 5), float64(i / 5)},
            []float64{0.8, 0.8},
        )
        rt.Insert(&Area{rect, fmt.Sprintf("area-%d", i)})
    }

    // Inspect tree structure
    fmt.Printf("Tree properties:\n")
    fmt.Printf("  Dimensions: %d\n", rt.Dim)
    fmt.Printf("  Min children: %d\n", rt.MinChildren)
    fmt.Printf("  Max children: %d\n", rt.MaxChildren)
    fmt.Printf("  Size (objects): %d\n", rt.Size())
    fmt.Printf("  Depth (levels): %d\n", rt.Depth())
    // Output:
    // Tree properties:
    //   Dimensions: 2
    //   Min children: 2
    //   Max children: 4
    //   Size (objects): 20
    //   Depth (levels): 3

    // Get all internal bounding boxes (useful for visualization)
    allBB := rt.GetAllBoundingBoxes()
    fmt.Printf("\nInternal bounding boxes (%d nodes):\n", len(allBB))
    for i, bb := range allBB {
        if i < 3 { // Print first few
            fmt.Printf("  %s (size: %.2f)\n", bb, bb.Size())
        }
    }
    // Output shows bounding boxes of internal tree nodes
}
```

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

### Create Points and Rectangles

Source: https://github.com/dhconnelly/rtreego/blob/master/README.md

Initialize spatial primitives using points (slices of float64) and rectangles (location and side lengths).

```Go
    p1 := rtreego.Point{0.4, 0.5}
    p2 := rtreego.Point{6.2, -3.4}
```

```Go
    r1, _ := rtreego.NewRect(p1, []float64{1, 2})
    r2, _ := rtreego.NewRect(p2, []float64{1.7, 2.7})
```

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

### Initialize and Bulk-load an R-tree

Source: https://context7.com/dhconnelly/rtreego/llms.txt

Create a new R-tree with specified dimensions and branching factors, optionally bulk-loading objects using the OMT algorithm.

```go
package main

import (
    "fmt"
    "github.com/dhconnelly/rtreego"
)

func main() {
    // Create an empty 2D R-tree with min=25, max=50 branching factor
    rt := rtreego.NewTree(2, 25, 50)
    fmt.Printf("Empty tree size: %d, depth: %d\n", rt.Size(), rt.Depth())
    // Output: Empty tree size: 0, depth: 1

    // Bulk-load objects during creation (uses OMT algorithm for large datasets)
    objects := make([]rtreego.Spatial, 1000)
    for i := 0; i < 1000; i++ {
        rect, _ := rtreego.NewRect(rtreego.Point{float64(i), float64(i)}, []float64{1, 1})
        objects[i] = &Location{rect, fmt.Sprintf("loc-%d", i)}
    }
    rtBulk := rtreego.NewTree(2, 25, 50, objects...)
    fmt.Printf("Bulk-loaded tree size: %d, depth: %d\n", rtBulk.Size(), rtBulk.Depth())
    // Output: Bulk-loaded tree size: 1000, depth: 3
}

type Location struct {
    bounds rtreego.Rect
    name   string
}

func (l *Location) Bounds() rtreego.Rect {
    return l.bounds
}
```

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

### Initialize an R-tree

Source: https://github.com/dhconnelly/rtreego/blob/master/README.md

Create a new R-tree instance by specifying dimensions and branching factors, with an optional bulk-load of objects.

```Go
    rt := rtreego.NewTree(2, 25, 50)
```

```Go
    rt := rtreego.NewTree(2, 25, 50, objects...)
```

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

### Perform K-Nearest Neighbors Search in Go

Source: https://context7.com/dhconnelly/rtreego/llms.txt

Shows how to find the nearest neighbor or k-nearest neighbors to a point, including applying filters to the KNN search.

```go
package main

import (
    "fmt"
    "github.com/dhconnelly/rtreego"
)

type Restaurant struct {
    name     string
    location rtreego.Point
    cuisine  string
}

func (r *Restaurant) Bounds() rtreego.Rect {
    return r.location.ToRect(0.001)
}

func main() {
    rt := rtreego.NewTree(2, 5, 10)

    // Insert restaurants
    restaurants := []struct {
        name    string
        x, y    float64
        cuisine string
    }{
        {"Italian Place", 1.0, 1.0, "Italian"},
        {"Sushi Bar", 2.5, 0.5, "Japanese"},
        {"Taco Stand", 0.5, 2.0, "Mexican"},
        {"Burger Joint", 3.0, 3.0, "American"},
        {"Thai Kitchen", 1.5, 1.5, "Thai"},
        {"French Bistro", 4.0, 1.0, "French"},
    }

    for _, r := range restaurants {
        rt.Insert(&Restaurant{r.name, rtreego.Point{r.x, r.y}, r.cuisine})
    }

    // Find the single nearest neighbor
    userLocation := rtreego.Point{1.2, 1.3}
    nearest := rt.NearestNeighbor(userLocation)
    if nearest != nil {
        rest := nearest.(*Restaurant)
        fmt.Printf("Closest restaurant: %s (%s)\n", rest.name, rest.cuisine)
    }
    // Output: Closest restaurant: Thai Kitchen (Thai)

    // Find k=3 nearest neighbors
    k := 3
    nearestK := rt.NearestNeighbors(k, userLocation)
    fmt.Printf("\nTop %d nearest restaurants:\n", k)
    for i, r := range nearestK {
        rest := r.(*Restaurant)
        fmt.Printf("  %d. %s (%s)\n", i+1, rest.name, rest.cuisine)
    }
    // Output:
    // Top 3 nearest restaurants:
    //   1. Thai Kitchen (Thai)
    //   2. Italian Place (Italian)
    //   3. Sushi Bar (Japanese)

    // KNN with custom filter (only Japanese restaurants)
    japaneseFilter := func(results []rtreego.Spatial, obj rtreego.Spatial) (refuse, abort bool) {
        rest := obj.(*Restaurant)
        return rest.cuisine != "Japanese", false
    }

    nearestJapanese := rt.NearestNeighbors(2, userLocation, japaneseFilter)
    fmt.Printf("\nNearest Japanese restaurants:\n")
    for _, r := range nearestJapanese {
        rest := r.(*Restaurant)
        fmt.Printf("  - %s\n", rest.name)
    }
    // Output:
    // Nearest Japanese restaurants:
    //   - Sushi Bar
}
```

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

### Apply Search Filters in Go

Source: https://context7.com/dhconnelly/rtreego/llms.txt

Demonstrates using LimitFilter to restrict result counts and custom filter functions to refine search results based on object properties.

```go
package main

import (
    "fmt"
    "github.com/dhconnelly/rtreego"
)

type Store struct {
    name     string
    bounds   rtreego.Rect
    category string
    rating   float64
}

func (s *Store) Bounds() rtreego.Rect {
    return s.bounds
}

func main() {
    rt := rtreego.NewTree(2, 5, 10)

    // Insert stores
    stores := []struct {
        name     string
        x, y     float64
        category string
        rating   float64
    }{
        {"Coffee Shop A", 1, 1, "coffee", 4.5},
        {"Restaurant B", 2, 2, "restaurant", 4.2},
        {"Coffee Shop C", 3, 1, "coffee", 4.8},
        {"Grocery D", 1, 3, "grocery", 3.9},
        {"Coffee Shop E", 2, 1, "coffee", 4.1},
    }

    for _, s := range stores {
        rect, _ := rtreego.NewRect(rtreego.Point{s.x, s.y}, []float64{0.5, 0.5})
        rt.Insert(&Store{s.name, rect, s.category, s.rating})
    }

    searchBB, _ := rtreego.NewRect(rtreego.Point{0, 0}, []float64{5, 5})

    // Search with limit filter - only return first 2 results
    limited := rt.SearchIntersect(searchBB, rtreego.LimitFilter(2))
    fmt.Printf("Limited to 2 results: %d stores found\n", len(limited))
    // Output: Limited to 2 results: 2 stores found

    // Custom filter: only coffee shops with rating >= 4.5
    coffeeFilter := func(results []rtreego.Spatial, obj rtreego.Spatial) (refuse, abort bool) {
        store := obj.(*Store)
        if store.category != "coffee" || store.rating < 4.5 {
            return true, false // refuse this entry, continue search
        }
        return false, false // accept entry
    }

    coffeeShops := rt.SearchIntersect(searchBB, coffeeFilter)
    fmt.Printf("High-rated coffee shops:\n")
    for _, r := range coffeeShops {
        store := r.(*Store)
        fmt.Printf("  - %s (%.1f stars)\n", store.name, store.rating)
    }
    // Output:
    // High-rated coffee shops:
    //   - Coffee Shop A (4.5 stars)
    //   - Coffee Shop C (4.8 stars)

    // Combine filters: coffee shops, max 1 result
    combined := rt.SearchIntersect(searchBB, coffeeFilter, rtreego.LimitFilter(1))
    fmt.Printf("First high-rated coffee shop: %d found\n", len(combined))
    // Output: First high-rated coffee shop: 1 found
}
```

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

### Insert and Manage Objects

Source: https://github.com/dhconnelly/rtreego/blob/master/README.md

Store objects implementing the Spatial interface and retrieve the current tree size.

```Go
    type Thing struct {
      where *Rect
      name string
    }

    func (t *Thing) Bounds() *Rect {
      return t.where
    }

    rt.Insert(&Thing{r1, "foo"})
    rt.Insert(&Thing{r2, "bar"})

    size := rt.Size() // returns 2
```

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

### Insert and Delete Objects in Rtreego

Source: https://context7.com/dhconnelly/rtreego/llms.txt

Demonstrates inserting items, deleting by pointer reference, and using custom comparators for deletion. Note that updating an object requires a delete-then-insert cycle to avoid tree corruption.

```go
package main

import (
    "fmt"
    "github.com/dhconnelly/rtreego"
)

type Item struct {
    id     int
    bounds rtreego.Rect
}

func (i *Item) Bounds() rtreego.Rect {
    return i.bounds
}

func main() {
    rt := rtreego.NewTree(2, 2, 4)

    // Create and insert items
    items := make([]*Item, 5)
    for i := 0; i < 5; i++ {
        rect, _ := rtreego.NewRect(rtreego.Point{float64(i * 10), float64(i * 10)}, []float64{5, 5})
        items[i] = &Item{id: i, bounds: rect}
        rt.Insert(items[i])
    }
    fmt.Printf("After insert: size=%d\n", rt.Size())
    // Output: After insert: size=5

    // Delete using pointer reference
    deleted := rt.Delete(items[2])
    fmt.Printf("Delete items[2]: success=%v, size=%d\n", deleted, rt.Size())
    // Output: Delete items[2]: success=true, size=4

    // Delete using custom comparator (when you don't have the original pointer)
    comparator := func(obj1, obj2 rtreego.Spatial) bool {
        item1 := obj1.(*Item)
        item2 := obj2.(*Item)
        return item1.id == item2.id
    }

    // Create a new Item with same ID to find and delete
    searchItem := &Item{id: 4, bounds: items[4].bounds}
    deleted = rt.DeleteWithComparator(searchItem, comparator)
    fmt.Printf("Delete by ID: success=%v, size=%d\n", deleted, rt.Size())
    // Output: Delete by ID: success=true, size=3

    // Updating an object requires delete + re-insert
    items[0].bounds, _ = rtreego.NewRect(rtreego.Point{100, 100}, []float64{5, 5})
    // WARNING: Direct modification corrupts the tree! Must delete first
    rt.Delete(items[0])
    rt.Insert(items[0])
    fmt.Printf("After update: size=%d\n", rt.Size())
    // Output: After update: size=3
}
```

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

### Define Points and Rectangles

Source: https://context7.com/dhconnelly/rtreego/llms.txt

Construct spatial primitives including points, axis-aligned rectangles, and point-to-rectangle conversions for N-dimensional space.

```go
package main

import (
    "fmt"
    "github.com/dhconnelly/rtreego"
)

func main() {
    // Create 2D points
    p1 := rtreego.Point{0.4, 0.5}
    p2 := rtreego.Point{6.2, -3.4}
    fmt.Printf("Point 1: %v, Point 2: %v\n", p1, p2)

    // Create rectangle from point and side lengths
    rect1, err := rtreego.NewRect(p1, []float64{1.0, 2.0})
    if err != nil {
        panic(err)
    }
    fmt.Printf("Rect1: %v, Size: %.2f\n", rect1, rect1.Size())
    // Output: Rect1: [0.40, 1.40]x[0.50, 2.50], Size: 2.00

    // Create rectangle from two corner points
    minPt := rtreego.Point{0.0, 0.0}
    maxPt := rtreego.Point{5.0, 10.0}
    rect2, _ := rtreego.NewRectFromPoints(minPt, maxPt)
    fmt.Printf("Rect2: %v, Size: %.2f\n", rect2, rect2.Size())
    // Output: Rect2: [0.00, 5.00]x[0.00, 10.00], Size: 50.00

    // Convert a point to a rectangle (useful for point-based objects)
    tolerance := 0.01
    pointRect := p1.ToRect(tolerance)
    fmt.Printf("Point as Rect (tol=0.01): %v\n", pointRect)
    // Output: Point as Rect (tol=0.01): [0.39, 0.41]x[0.49, 0.51]

    // 3D example
    p3d := rtreego.Point{1.0, 2.0, 3.0}
    rect3d, _ := rtreego.NewRect(p3d, []float64{1.0, 1.0, 1.0})
    fmt.Printf("3D Rect: %v, Size: %.2f\n", rect3d, rect3d.Size())
    // Output: 3D Rect: [1.00, 2.00]x[2.00, 3.00]x[3.00, 4.00], Size: 1.00
}
```

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

### Perform Bounding-Box Queries

Source: https://github.com/dhconnelly/rtreego/blob/master/README.md

Search for objects that intersect with a specified search rectangle.

```Go
    bb, _ := rtreego.NewRect(rtreego.Point{1.7, -3.4}, []float64{3.2, 1.9})

    // Get a slice of the objects in rt that intersect bb:
    results := rt.SearchIntersect(bb)
```

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

### Implement the Spatial Interface

Source: https://context7.com/dhconnelly/rtreego/llms.txt

Define custom types that satisfy the Spatial interface by implementing the Bounds() method to enable storage in an R-tree.

```go
package main

import (
    "fmt"
    "github.com/dhconnelly/rtreego"
)

// Store rectangles with metadata
type Building struct {
    bounds rtreego.Rect
    name   string
    floors int
}

func (b *Building) Bounds() rtreego.Rect {
    return b.bounds
}

// Store points with a tolerance for the bounding box
type Sensor struct {
    location rtreego.Point
    id       string
    value    float64
}

const sensorTolerance = 0.001

func (s *Sensor) Bounds() rtreego.Rect {
    return s.location.ToRect(sensorTolerance)
}

func main() {
    rt := rtreego.NewTree(2, 5, 10)

    // Insert buildings
    b1Rect, _ := rtreego.NewRect(rtreego.Point{0, 0}, []float64{100, 50})
    building := &Building{b1Rect, "Office Tower", 20}
    rt.Insert(building)

    // Insert sensors as points
    sensor := &Sensor{rtreego.Point{50, 25}, "temp-001", 72.5}
    rt.Insert(sensor)

    fmt.Printf("Tree contains %d objects\n", rt.Size())
    // Output: Tree contains 2 objects
}
```

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

### Perform Nearest-Neighbor Queries

Source: https://github.com/dhconnelly/rtreego/blob/master/README.md

Retrieve a specified number of objects closest to a given point using the NearestNeighbors method.

```Go
    q := rtreego.Point{6.5, -2.47}
    k := 5

    // Get a slice of the k objects in rt closest to q:
    results = rt.NearestNeighbors(k, q)
```

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

### Apply a Limit Filter

Source: https://github.com/dhconnelly/rtreego/blob/master/README.md

Use the built-in LimitFilter to restrict the number of results returned by a search operation.

```Go
    // maximum of three results will be returned
    tree.SearchIntersect(bb, LimitFilter(3))
```

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

### Store Points as Rectangles

Source: https://github.com/dhconnelly/rtreego/blob/master/README.md

Convert a point into a rectangle using the ToRect method to satisfy the Spatial interface.

```Go
    var tol = 0.01

    type Somewhere struct {
      location rtreego.Point
      name string
      wormhole chan int
    }

    func (s *Somewhere) Bounds() *Rect {
      // define the bounds of s to be a rectangle centered at s.location
      // with side lengths 2 * tol:
      return s.location.ToRect(tol)
    }

    rt.Insert(&Somewhere{rtreego.Point{0, 0}, "Someplace", nil})
```

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

### Define a Filter Function

Source: https://github.com/dhconnelly/rtreego/blob/master/README.md

Implement this function signature to create custom logic for refusing or aborting spatial search results.

```Go
    type Filter func(results []Spatial, object Spatial) (refuse, abort bool)
```

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

### Define Spatial Interface

Source: https://github.com/dhconnelly/rtreego/blob/master/README.md

Implement the Spatial interface to allow custom types to be stored in the R-tree.

```Go
    type Spatial interface {
      Bounds() *Rect
    }
```

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

### Delete Objects

Source: https://github.com/dhconnelly/rtreego/blob/master/README.md

Remove objects from the tree using standard deletion or a custom comparator for equality checks.

```Go
    rt.Delete(thing2)
    // do some stuff...
    rt.Insert(anotherThing)
```

```Go
    type Comparator func(obj1, obj2 Spatial) (equal bool)
```

```Go
    cmp := func(obj1, obj2 Spatial) bool {
      sp1 := obj1.(*IDRect)
      sp2 := obj2.(*IDRect)

      return sp1.ID == sp2.ID
    }

    rt.DeleteWithComparator(obj, cmp)
```

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

### Search Intersecting Objects in Rtreego

Source: https://context7.com/dhconnelly/rtreego/llms.txt

Performs a spatial search to find all objects whose bounding boxes intersect with a specified query rectangle.

```go
package main

import (
    "fmt"
    "github.com/dhconnelly/rtreego"
)

type City struct {
    name   string
    bounds rtreego.Rect
}

func (c *City) Bounds() rtreego.Rect {
    return c.bounds
}

func main() {
    rt := rtreego.NewTree(2, 5, 10)

    // Insert cities with their geographic bounds
    cities := []struct {
        name string
        x, y float64
        w, h float64
    }{
        {"New York", -74.0, 40.7, 0.3, 0.2},
        {"Los Angeles", -118.2, 34.0, 0.4, 0.3},
        {"Chicago", -87.6, 41.8, 0.2, 0.2},
        {"Houston", -95.3, 29.7, 0.3, 0.3},
        {"Phoenix", -112.0, 33.4, 0.3, 0.2},
    }

    for _, c := range cities {
        rect, _ := rtreego.NewRect(rtreego.Point{c.x, c.y}, []float64{c.w, c.h})
        rt.Insert(&City{c.name, rect})
    }

    // Search for cities in the midwest/northeast region
    searchBB, _ := rtreego.NewRect(rtreego.Point{-90, 40}, []float64{20, 5})
    results := rt.SearchIntersect(searchBB)

    fmt.Printf("Cities in search region:\n")
    for _, r := range results {
        city := r.(*City)
        fmt.Printf("  - %s\n", city.name)
    }
    // Output:
    // Cities in search region:
    //   - New York
    //   - Chicago
}
```

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