Arcgis 与 Pixi.js 可视化 glsl 特效篇（二十七）-526互联

这次我们用pixi.js和arcgis js结合

我们先定义一下传入数据结构 symbol 暂时不做

let option = {
renderer: {
type: "simple",
symbol: {
}
},
data: [
{
geometry: [12956152.73135875, 4855356.473704897],
attributes: {
name: "北京"
}
},
{
geometry: [12697872.012783196, 2577456.5937789795],
attributes: {
name: "深圳"
}
}
]
};

对于data 数据 ,
toScreen 方法参考链接提示
app 的构建参考链接提示

let data = this.options.data;
for(let item of data){
//转换屏幕坐标，获取颜色，半径和线条粗细样式
let geo = item.geometry
let XY1 = toScreen(geo);
const geometry = new PIXI.Geometry()
.addAttribute("position", [100, 100, -100, 100, -100, -100, 100, -100, 200, 200], 2)
.addAttribute('uv', // the attribute name
[0, 0, // u, v
1, 0, // u, v
1, 1,
0, 1], // u, v
2)
.addIndex([0, 1, 2, 0, 2, 3]);
const fragmentShader = `
uniform float iTime;
uniform vec2 iResolution;
varying vec2 vUv;
#define USE_LIGHT 0
mat3 m = mat3( 0.00, 0.80, 0.60,
-0.80, 0.36, -0.48,
-0.60, -0.48, 0.64);
float hash(float n)
{
return fract(sin(n) * 43758.5453);
}
///
/// Noise function
///
float noise(in vec3 x)
{
vec3 p = floor(x);
vec3 f = fract(x);
f = f * f * (3.0 - 2.0 * f);
float n = p.x + p.y * 57.0 + 113.0 * p.z;
float res = mix(mix(mix(hash(n + 0.0), hash(n + 1.0), f.x),
mix(hash(n + 57.0), hash(n + 58.0), f.x), f.y),
mix(mix(hash(n + 113.0), hash(n + 114.0), f.x),
mix(hash(n + 170.0), hash(n + 171.0), f.x), f.y), f.z);
return res;
}
///
/// Fractal Brownian motion.
///
/// Refer to:
/// EN: https://thebookofshaders.com/13/
/// JP: https://thebookofshaders.com/13/?lan=jp
///
float fbm(vec3 p)
{
float f;
f = 0.5000 * noise(p); p = m * p * 2.02;
f += 0.2500 * noise(p); p = m * p * 2.03;
f += 0.1250 * noise(p);
return f;
}
//////////////////////////////////////////////////
///
/// Sphere distance function.
///
/// But this function return inverse value.
/// Normal dist function is like below.
///
/// return length(pos) - 0.1;
///
/// Because this function is used for density.
///
float scene(in vec3 pos)
{
return 0.1 - length(pos) * 0.05 + fbm(pos * 0.3);
}

Arcgis 与 Pixi.js 可视化 glsl 特效篇（二十七）－小专栏