fix wrong grid distances

toargridding/grids.py

@@ -53,21 +53,27 @@ class RegularGrid(GridDefinition):
         # TODO make sure only sensible resolutions
 
         self.lat_resolution = lat_resolution
-        self.lon_resolution = lon_resolution
-        n_lat = 180 / self.lat_resolution  # TODO confirm
-        n_lon = 360 / self.lon_resolution
-        print(n_lat, n_lon)
+        self.lat_min = -90
+        self.lat_max = 90
+        self.lat_span = self.lat_max - self.lat_min
+        self.lat_n = int(self.lat_span / self.lat_resolution)
+        self.lat = np.linspace(self.lat_min, self.lat_max, self.lat_n + 1)
 
-        self.lon = np.linspace(-180, 180, int(n_lat) + 1)
-        self.lat = np.linspace(-90, 90, int(n_lon) + 1)
+        self.lon_resolution = lon_resolution
+        self.lon_min = -180
+        self.lon_max = 180
+        self.lon_span = self.lon_max - self.lon_min
+        self.lon_n = int(self.lon_span / self.lon_resolution)
+        self.lon = np.linspace(self.lon_min, self.lon_max, self.lon_n + 1)
 
         self._as_xy_index = np.dstack(
             np.meshgrid(range(self.lat.size), range(self.lon.size))
         ).reshape(-1, 2)
-        self._as_i_index = np.arange(self.lon.size * self.lat.size).reshape(
-            (self.lon.size, self.lat.size)
+        self._as_i_index = (
+            np.arange(self.lon.size * self.lat.size)
+            .reshape((self.lon.size, self.lat.size))
+            .T
         )
-        print(self._as_i_index.shape)
 
     def as_xarray(self, timeseries_per_statistic, metadata):
         datasets = dict()