terriajs
Version:
Geospatial data visualization platform.
51 lines • 1.99 kB
JavaScript
var __decorate = (this && this.__decorate) || function (decorators, target, key, desc) {
var c = arguments.length, r = c < 3 ? target : desc === null ? desc = Object.getOwnPropertyDescriptor(target, key) : desc, d;
if (typeof Reflect === "object" && typeof Reflect.decorate === "function") r = Reflect.decorate(decorators, target, key, desc);
else for (var i = decorators.length - 1; i >= 0; i--) if (d = decorators[i]) r = (c < 3 ? d(r) : c > 3 ? d(target, key, r) : d(target, key)) || r;
return c > 3 && r && Object.defineProperty(target, key, r), r;
};
import ModelTraits from "../ModelTraits";
import primitiveTrait from "../Decorators/primitiveTrait";
export default class ClusteringTraits extends ModelTraits {
enabled = false;
pixelRange = 35;
minimumClusterSize = 5;
pinSize = 60;
pinBackgroundColor = "gray";
}
__decorate([
primitiveTrait({
name: "Enabled",
description: "True to enable clustering. False by default",
type: "boolean"
})
], ClusteringTraits.prototype, "enabled", void 0);
__decorate([
primitiveTrait({
name: "pixelRange",
description: "The pixel range to extend the screen space bounding box",
type: "number"
})
], ClusteringTraits.prototype, "pixelRange", void 0);
__decorate([
primitiveTrait({
name: "minimumClusterSize",
description: "The minimum number of screen space objects that can be clustered",
type: "number"
})
], ClusteringTraits.prototype, "minimumClusterSize", void 0);
__decorate([
primitiveTrait({
name: "pinSize",
description: "The size of the pin, in pixels",
type: "number"
})
], ClusteringTraits.prototype, "pinSize", void 0);
__decorate([
primitiveTrait({
name: "pinBackgroundColor",
type: "string",
description: "The color of the pin"
})
], ClusteringTraits.prototype, "pinBackgroundColor", void 0);
//# sourceMappingURL=ClusteringTraits.js.map