我已经使用SQL to geoJSON为我的数据库生成了一些兴趣点。
以GeoJSON：
{
"FeatureCollection" : [
{
"geometry" : {
"coordinates" : [
-45.927083,
-12.260889
],
"type" : "Point"
},
"properties" : {
"grower" : "foo",
"name" : "bar",
"radius" : "626.46"
},
"type" : "Feature"
},
{
"geometry" : {
"coordinates" : [
-45.916500,
-12.255944
],
"type" : "Point"
},
"properties" : {
"grower" : "foo",
"name" : "bar",
"radius" : "565.04"
},
"type" : "Feature"
},
{
"geometry" : {
"coordinates" : [
-45.949417,
-12.270361
],
"type" : "Point"
},
"properties" : {
"grower" : "foo",
"name" : "bar",
"radius" : "631.47"
},
"type" : "Feature"
},
{
"geometry" : {
"coordinates" : [
-45.958833,
-12.277361
],
"type" : "Point"
},
"properties" : {
"grower" : "foo",
"name" : "bar",
"radius" : "591.85"
},
"type" : "Feature"
},
{
"geometry" : {
"coordinates" : [
-45.942944,
-12.249889
],
"type" : "Point"
},
"properties" : {
"grower" : "foo",
"name" : "bar",
"radius" : "644.67"
},
"type" : "Feature"
},
{
"geometry" : {
"coordinates" : [
-45.930917,
-12.243611
],
"type" : "Point"
},
"properties" : {
"grower" : "foo",
"name" : "bar",
"radius" : "644.67"
},
"type" : "Feature"
},
{
"geometry" : {
"coordinates" : [
-45.871917,
-12.197139
],
"type" : "Point"
},
"properties" : {
"grower" : "foo",
"name" : "bar",
"radius" : "574.60"
},
"type" : "Feature"
},
{
"geometry" : {
"coordinates" : [
-45.866861,
-12.206417
],
"type" : "Point"
},
"properties" : {
"grower" : "foo",
"name" : "bar",
"radius" : "574.60"
},
"type" : "Feature"
},
{
"geometry" : {
"coordinates" : [
-45.967389,
-12.261889
],
"type" : "Point"
},
"properties" : {
"grower" : "foo",
"name" : "bar",
"radius" : "592.50"
},
"type" : "Feature"
},
{
"geometry" : {
"coordinates" : [
-45.973500,
-12.250639
],
"type" : "Point"
},
"properties" : {
"grower" : "foo",
"name" : "bar",
"radius" : "592.50"
},
"type" : "Feature"
},
{
"geometry" : {
"coordinates" : [
-45.962944,
-12.245444
],
"type" : "Point"
},
"properties" : {
"grower" : "foo",
"name" : "bar",
"radius" : "621.60"
},
"type" : "Feature"
},
{
"geometry" : {
"coordinates" : [
-45.952667,
-12.239778
],
"type" : "Point"
},
"properties" : {
"grower" : "foo",
"name" : "bar",
"radius" : "592.50"
},
"type" : "Feature"
},
{
"geometry" : {
"coordinates" : [
-45.931639,
-12.228528
],
"type" : "Point"
},
"properties" : {
"grower" : "foo",
"name" : "bar",
"radius" : "574.60"
},
"type" : "Feature"
},
{
"geometry" : {
"coordinates" : [
-45.908694,
-12.247472
],
"type" : "Point"
},
"properties" : {
"grower" : "foo",
"name" : "bar",
"radius" : "557.20"
},
"type" : "Feature"
},
{
"geometry" : {
"coordinates" : [
-45.918667,
-12.239139
],
"type" : "Point"
},
"properties" : {
"grower" : "foo",
"name" : "bar",
"radius" : "644.50"
},
"type" : "Feature"
},
{
"geometry" : {
"coordinates" : [
-45.897028,
-12.246000
],
"type" : "Point"
},
"properties" : {
"grower" : "foo",
"name" : "bar",
"radius" : "557.20"
},
"type" : "Feature"
},
{
"geometry" : {
"coordinates" : [
-45.906417,
-12.230472
],
"type" : "Point"
},
"properties" : {
"grower" : "foo",
"name" : "bar",
"radius" : "64.50"
},
"type" : "Feature"
},
{
"geometry" : {
"coordinates" : [
-45.895750,
-12.225028
],
"type" : "Point"
},
"properties" : {
"grower" : "foo",
"name" : "bar",
"radius" : "644.50"
},
"type" : "Feature"
},
{
"geometry" : {
"coordinates" : [
-45.927111,
-12.213750
],
"type" : "Point"
},
"properties" : {
"grower" : "foo",
"name" : "bar",
"radius" : "564.90"
},
"type" : "Feature"
},
{
"geometry" : {
"coordinates" : [
-45.917639,
-12.208750
],
"type" : "Point"
},
"properties" : {
"grower" : "foo",
"name" : "bar",
"radius" : "564.90"
},
"type" : "Feature"
},
{
"geometry" : {
"coordinates" : [
-45.897833,
-12.198444
],
"type" : "Point"
},
"properties" : {
"grower" : "foo",
"name" : "bar",
"radius" : "584.00"
},
"type" : "Feature"
},
{
"geometry" : {
"coordinates" : [
-45.881583,
-12.202233
],
"type" : "Point"
},
"properties" : {
"grower" : "foo",
"name" : "bar",
"radius" : "574.60"
},
"type" : "Feature"
},
{
"geometry" : {
"coordinates" : [
-45.876833,
-12.235306
],
"type" : "Point"
},
"properties" : {
"grower" : "foo",
"name" : "bar",
"radius" : "574.60"
},
"type" : "Feature"
},
{
"geometry" : {
"coordinates" : [
-45.867278,
-12.230306
],
"type" : "Point"
},
"properties" : {
"grower" : "foo",
"name" : "bar",
"radius" : "574.60"
},
"type" : "Feature"
},
{
"geometry" : {
"coordinates" : [
-45.856806,
-12.224889
],
"type" : "Point"
},
"properties" : {
"grower" : "foo",
"name" : "bar",
"radius" : "574.60"
},
"type" : "Feature"
},
{
"geometry" : {
"coordinates" : [
-45.861806,
-12.215611
],
"type" : "Point"
},
"properties" : {
"grower" : "foo",
"name" : "bar",
"radius" : "574.60"
},
"type" : "Feature"
},
{
"geometry" : {
"coordinates" : [
-45.887833,
-12.192806
],
"type" : "Point"
},
"properties" : {
"grower" : "foo",
"name" : "bar",
"radius" : "12.60"
},
"type" : "Feature"
},
{
"geometry" : {
"coordinates" : [
-45.877639,
-12.187917
],
"type" : "Point"
},
"properties" : {
"grower" : "foo",
"name" : "bar",
"radius" : "564.90"
},
"type" : "Feature"
},
{
"geometry" : {
"coordinates" : [
-45.941889,
-12.234611
],
"type" : "Point"
},
"properties" : {
"grower" : "foo",
"name" : "bar",
"radius" : "644.50"
},
"type" : "Feature"
},
{
"geometry" : {
"coordinates" : [
-45.887111,
-12.239889
],
"type" : "Point"
},
"properties" : {
"grower" : "foo",
"name" : "bar",
"radius" : "644.50"
},
"type" : "Feature"
},
{
"geometry" : {
"coordinates" : [
-45.907944,
-12.203361
],
"type" : "Point"
},
"properties" : {
"grower" : "foo",
"name" : "bar",
"radius" : "591.70"
},
"type" : "Feature"
},
{
"geometry" : {
"coordinates" : [
-45.892722,
-12.208028
],
"type" : "Point"
},
"properties" : {
"grower" : "foo",
"name" : "bar",
"radius" : "574.60"
},
"type" : "Feature"
}
]
}
我想将此geojson导入Google Earth Engine上的代码编辑器。查看文档（assets manager），GEE接受资源为光栅图像，shapefile（.shp，shx，dbf，prj）。
另外，我发现通过融合表导入到要素集合，但它仍然需要shapefile。
我找到了一些geojson到shapefile的转换器，虽然我需要一种方法直接将我的geojson导入到GEE上的一个特征集合中。这可能吗？
答案 0 :(得分：3)
您还可以直接导入GeoJSON几何对象，例如，使用MultiPolygon的此格式：
{
"type": "MultiPolygon",
"coordinates": [
[
[ [102.0, 2.0], [103.0, 2.0], [103.0, 3.0], [102.0, 3.0], [102.0, 2.0] ]
],
[
[ [100.0, 0.0], [101.0, 0.0], [101.0, 1.0], [100.0, 1.0], [100.0, 0.0] ],
[ [100.2, 0.2], [100.8, 0.2], [100.8, 0.8], [100.2, 0.8], [100.2, 0.2] ]
]
]
}
这与GeoJSON规范（source）相同：
import json
data = json.loads(geojson_file)
当然，您也可以从GeoJSON文件中读取此数据：
pygeoj对于一个很好的简单包装器，有select date,
sum(case when name = 'A_SPACE' then value else 0 end) as a_space,
sum(case when name = 'B_SPACE' then value else 0 end) as b_space
from t
group by date
order by date;
库，但是JSON数据在Python中本地处理得很好，当然还有JS。
答案 1 :(得分：2)
您可以轻松地使用OGR将数据转换为shapefile（然后可以通过代码编辑器上传）或KML并将其上传到FusionTables。
ogr2ogr -f KML output.kml input.json
但是，您的FeatureCollection不是有效的GeoJSON，您必须先修复它。序言应如下：
{
"type": "FeatureCollection",
"features": [
{
"geometry" : { ...