The first operand is not sorted in ascending order. Use SORT first. Error in do_vectors

这个错误通常是因为你在执行某个向量操作时，第一个向量没有按升序排序。你可以使用Matlab的sort函数来对其进行排序。例如，如果你要对向量A进行排序，可以使用以下命令：

A = sort(A);

如果你需要按照某个矩阵的某一列进行排序，可以使用sortrows函数。例如，如果你有一个3列的矩阵M，你想按照第2列进行排序，可以使用以下命令：

M = sortrows(M,2);

这将按照矩阵M的第2列进行排序。确保你在执行向量操作之前对向量进行了排序，可以避免这个错误。

相关问题

Line 27: Required argument (image2) missing to function: Image.first(image1, image2) Selects the value of the first value for each matched pair of bands in image1 and image2. If either image1 or image2 has only 1 band, then it is used against all the bands in the other image. If the images have the same number of bands, but not the same names, they're used pairwise in the natural order. The output bands are named for the longer of the two inputs, or if they're equal in length, in image1's order. The type of the output pixels is the union of the input types. Args: image1 (Image): The image from which the left operand bands are taken. image2 (Image): The image from which the right operand bands are taken.

Apologies for the error in the code. It seems that there was a mistake in the `filterImages` function, where the `first()` method was missing an argument. Here's the corrected code:

// 选择地区和时间范围
var geometry = ee.Geometry.Rectangle([xmin, ymin, xmax, ymax]);
var startDate = '2000-01-01';
var endDate = '2020-12-31';

// 加载MODIS数据集
var modisCollection = ee.ImageCollection('MODIS/006/MOD13Q1')
  .filterDate(startDate, endDate)
  .filterBounds(geometry);

// 加载降水数据集
var precipitationCollection = ee.ImageCollection('TRMM/3B43V7')
  .filterDate(startDate, endDate)
  .filterBounds(geometry);

// 计算NDVI
var addNDVI = function(image) {
  var ndvi = image.normalizedDifference(['sur_refl_b02', 'sur_refl_b01'])
    .rename('NDVI')
    .copyProperties(image, ['system:time_start']);
  return image.addBands(ndvi);
};
var modisWithNDVI = modisCollection.map(addNDVI);

// 按月合并影像集合
var mergeCollection = function(collection) {
  var yearMonth = ee.String(ee.Image(collection.first()).date().format("YYYY-MM"));
  var merged = collection.mosaic().set('system:time_start', ee.Date(yearMonth).millis());
  return merged;
};
var modisMonthly = modisWithNDVI.map(mergeCollection);

// 筛选降水和NDVI影像
var filterImages = function(image) {
  var date = ee.Date(image.get('system:time_start'));
  var precipitationImage = precipitationCollection
    .filterDate(date, date.advance(1, 'month'))
    .first();
  return ee.ImageCollection.fromImages([precipitationImage, image]);
};
var filteredCollection = modisMonthly.map(filterImages);

// 计算相关性
var computeCorrelation = function(image) {
  var correlation = image.reduceRegion({
    reducer: ee.Reducer.pearsonsCorrelation(),
    geometry: geometry,
    scale: 250,
    maxPixels: 1e9
  });
  return image.set(correlation);
};
var correlationCollection = filteredCollection.map(computeCorrelation);

// 打印相关性结果
print(correlationCollection);

Please replace `xmin`, `ymin`, `xmax`, and `ymax` with the appropriate values for your region of interest. This updated code should resolve the error and successfully compute the correlation analysis using GEE.

def double_in(x, y): match_list = [] is_list_x = isinstance(x, list) is_list_y = isinstance(y, list) if (is_list_x and not is_list_y) or (not is_list_x and is_list_y): special = x if is_list_x else y normal = y if is_list_x else x for ele in special: match_list.append(ele in normal or normal in ele) if is_list_x and is_list_y: for ele_x in x: for ele_y in y: match_list.append(ele_x in ele_y or ele_y in ele_x) else: match_list.append(x in y or y in x) return any(match_list) 'in <string>' requires string as left operand, not list出现这个错误怎么解决

这个错误是因为你使用了列表（list）作为左操作数，而 "in" 操作符通常用于字符串（string）类型的操作数。你需要确保在使用 "in" 操作符时，左操作数是一个字符串。如果你想在列表中查找元素，可以使用 "in" 操作符的另一种形式，即使用关键字 "in" 加上关键字 "for"，例如：

if ele in normal for ele in special:

这将返回一个布尔值，指示列表 special 中的任何元素是否在列表 normal 中出现。你可以根据需要修改代码以适应你的具体情况。