### SELCA Overview

SELCA is a QGIS plugin that analyzes the correlation between land cover changes and dependent variables such as population and GDRP, and provides probabilistic estimations of future land cover patterns.

### Assign Class

Assigns descriptive class names to the class values in the land cover raster.

(PARAMETER)

Label | Name | Type | Description
--- | --- | --- | ---
Raster Layer | INPUT | [raster] | Land cover raster to be reclassified

(OUTPUT)

Label | Name | Type | Description
--- | --- | --- | ---
Reclassified Raster | OUTPUT | [raster] | Raster with new class labels

### Land Cover Insight

Calculates land cover transition between classes land cover over time in the form of a transition matrix.

(PARAMETER)

Label | Name | Type | Description
--- | --- | --- | ---
Initial Raster | INPUT1 | [raster] | Initial raster
Final Raster | INPUT2 | [raster] | Final raster

(OUTPUT)

Produces output including statistical area charts of land cover, a land cover transition matrix (in area/km²), a heat map of the transition matrix, and descriptive explanatory text.

Label | Name | Type | Description
--- | --- | --- | ---
Matrix Table | OUTPUT | [CSV/Table] | Transition matrix expressed in area and percentage units

### Dependent Insight

Displays the relationship between land cover area and dependent variables, along with charts and visualizations of the land cover centroid shift. Users can also input variables such as GDRP, population, and others

(OUTPUT)

Label | Name | Type | Description
--- | --- | --- | ---
Plot | CHART | [PNG] | Scatterplot visualization of variable relationships

### Regression

Performs spatial regression between land cover classes and dependent variables using Common, Fixed, and Random Effect models, along with descriptive textual interpretation.

(OUTPUT)

Label | Name | Type | Description
--- | --- | --- | ---
Hasil Regresi | CSV | [Table] | Estimation results and coefficient values
Plot | PNG | [Image] | Regression result chart

### Estimation

Performs area estimation of future land cover classes based on the transition matrix.

(PARAMETER)

Label | Name | Type | Description
--- | --- | --- | ---
Transition Matrix | MATRIX | [CSV] | Initial Matrix
Number of Years | YEARS | [Integer] | Number of years ahead

(OUTPUT)

MProduces output including land cover class percentages, class-to-class transition matrices, future land cover class estimations, and comparative charts adjusted to the temporal interval.

Label | Name | Type | Description
--- | --- | --- | ---
Estimated Area | TABLE | [CSV] | Estimated area of future land cover classes

### City Center Trend Analysis

Analysis of built-up center shift dari land cover multitemporal.

(PARAMETER)

Label | Name | Type | Description
--- | --- | --- | ---
Input Land Cover Layers | INPUT | [raster: multiple] | Land cover raster layers from different time periods
Built-up Value | BUILD | [number] | A value that represents the built-up area in the land cover

(OUTPUT)

Generates the distribution of center of mass points and their directional shifts.

Label | Name | Type | Description
--- | --- | --- | ---
Centroid and Line Layer | OUTPUT | [vector: point+line] | Layer of built-up center points and their directional shifts

### Detecting Spatial Clusters and Outliers

Detects HH, LL, HL, and LH patterns based on variable values and their spatial relationships using Local Moran's I.

(PARAMETER)

Label | Name | Type | Description
--- | --- | --- | ---
Input Layer | INPUT | [vector: polygon] | Input polygon layer
Variable | VARIABLE | [field: numeric] | Numeric field value
ID Field | ID_FIELD | [field] | Identifier field unit spaTial
Method | METHOD | [enum] | Queen/Rook/KNN/Distance Band
KNN/Threshold | KNN_DIST | [number] | Spatial weight parameters

(OUTPUT)

Generates a layer based on the parameter calculation results, accompanied by descriptive text and a CSV table as output.

Label | Name | Type | Description
--- | --- | --- | ---
Result Layer | OUTPUT | [vector] | Layer with HH, LL, HL, LH classification fields
CSV | CSV_OUTPUT | [file] | CSV summary of values and classifications

### Economic Sector Specialization Analysis

Measures economic sector specialization using the Location Quotient (LQ) method.

(PARAMETER)

Label | Name | Type | Description
--- | --- | --- | ---
Input Layer | INPUT | [vector] | Input spatial layer
Sector Value | VARIABLEX | [field] | Specific Sector Value
Total Value | VARIABLEY | [field] | Total value of all sectors

(OUTPUT)

Generates a layer based on the parameter calculation results, accompanied by descriptive text and a CSV table as output.

Label | Name | Type | Description
--- | --- | --- | ---
Output Layer | OUTPUT | [vector] | LQ field, classification, and interpretation
CSV Output | CSV_OUTPUT | [file] | Exported LQ result table

### Global Spatial Pattern Analysis

Calculates Global Moran’s I to determine whether the spatial distribution of a variable is clustered, dispersed, or random.

(PARAMETER)

Label | Name | Type | Description
--- | --- | --- | ---
Input Layer | INPUT | [vector] | Polygon or point layer
Variable | VARIABLE | [field] | Numeric field value
Method | METHOD | [enum] | Spatial weight method
K/Threshold | PARAM | [number] | KNN parameters or distance
Confidence | CONFIDENCE | [enum] | 99%, 95%, 90%

(OUTPUT)

Produces statistical figures as well as descriptive text and CSV tables as output.

Label | Name | Type | Description
--- | --- | --- | ---
Plot | PLOT_OUTPUT | [PNG] | Scatterplot Moran’s I