Repository: movingpandas/movingpandas (language: python)

Issue:
Improve distance and speed unit handling
Geopy provides a Distance class that makes it easy to switch between distance units: m, km, miles, feet, nautical:

https://github.com/geopy/geopy/blob/40717e64e9a79ab52ecbf39530f7c5d663c5d664/geopy/distance.py#L190

MovingPandas should have similar additional capabilities for speed: m/s, ft/s, km/h, mph, knot
Revised kinetic prediction method
Pushed the revised version of the kinetic prediction.


Discussion / hints:
Interesting. I've used https://github.com/hgrecco/pint-pandas for unit conversion. Given geopy is a requirement makes sense to use that.
Thanks! We'll still have to fix the failing tests in https://github.com/anitagraser/movingpandas/blob/master/tests/test_trajectory_predictor.py
`current_heading` and `current_ms` need to be initialized:

```
current_heading = current_heading + float(row['delta_heading'])
UnboundLocalError: local variable 'current_heading' referenced before assignment
```

Is it sufficient to initialize with 0?
Please check if this looks right: https://github.com/anitagraser/movingpandas/commit/a1d2221ddc9f2791018b21f24b740052d020999f
Mhm, that doesn't look right yet. 

![image](https://user-images.githubusercontent.com/590385/51785217-a9b9b400-2154-11e9-9b3b-23b714591b08.png)

Ok, got it 
![image](https://user-images.githubusercontent.com/590385/51785303-0e294300-2156-11e9-9deb-20fffaaf8735.png)


Fix patch:
diff --git a/movingpandas/trajectory.py b/movingpandas/trajectory.py
index fdf9fafb..8fdfb9bc 100644
--- a/movingpandas/trajectory.py
+++ b/movingpandas/trajectory.py
@@ -9,10 +9,12 @@
 from pandas.core.indexes.datetimes import DatetimeIndex
 from geopandas import GeoDataFrame
 from geopy.distance import geodesic
+from collections import namedtuple
 
 try:
     from pyproj import CRS
 except ImportError:
+    # TODO: fiona.crs is deprecated from fiona 2.0, use fiona.CRS instead
     from fiona.crs import from_epsg
 
 from .overlay import clip, intersection, intersects, create_entry_and_exit_points
@@ -37,6 +39,196 @@
 SPEED_COL_NAME = "speed"
 TIMEDELTA_COL_NAME = "timedelta"
 TRAJ_ID_COL_NAME = "traj_id"
+UNITS = namedtuple(
+    "UNITS", "distance time time2 crs", defaults=(None, None, None, None)
+)
+
+DISTANCE_UNIT_LIST = [
+    {"abbr": "km", "conv": 1000, "fullname": "Kilometer"},
+    {"abbr": "m", "conv": 1, "fullname": "metre"},
+    {"abbr": "dm", "conv": 0.1, "fullname": "Decimeter"},
+    {"abbr": "cm", "conv": 0.01, "fullname": "Centimeter"},
+    {"abbr": "mm", "conv": 0.001, "fullname": "Millimeter"},
+    {"abbr": "nm", "conv": 1852.0, "fullname": "International Nautical Mile"},
+    {"abbr": "inch", "conv": 0.0254, "fullname": "International Inch"},
+    {"abbr": "ft", "conv": 0.3048, "fullname": "International Foot"},
+    {"abbr": "yd", "conv": 0.9144, "fullname": "International Yard"},
+    {"abbr": "mi", "conv": 1609.344, "fullname": "International Statute Mile"},
+    {"abbr": "link", "conv": 0.201168, "fullname": "International Link"},
+    {"abbr": "chain", "conv": 20.1168, "fullname": "International Chain"},
+    {"abbr": "fathom", "conv": 1.8288, "fullname": "International Fathom"},
+    {
+        "abbr": "british_ft",
+        "conv": 0.304799471538676,
+        "fullname": "British foot (Sears 1922)",
+        "epsg": 9041,
+    },
+    {
+        "abbr": "british_yd",
+        "conv": 0.914398414616029,
+        "fullname": "British yard (Sears 1922)",
+        "epsg": 9040,
+    },
+    {
+        "abbr": "british_chain_sears",
+        "conv": 20.11677651215526,
+        "fullname": "British chain (Sears 1922)",
+        "epsg": 9042,
+    },
+    {
+        "abbr": "british_link_sears",
+        "conv": 0.20116767651215526,
+        "fullname": "British link (Sears 1922)",
+        "epsg": 9043,
+    },
+    {"abbr": "sears_yd", "conv": 0.914398414616029, "fullname": "Yard (Sears)"},
+    {"abbr": "link_sears", "conv": 0.20116767651215526, "fullname": "Link (Sears)"},
+    {"abbr": "chain_sears", "conv": 20.11677651215526, "fullname": "Chain (Sears)"},
+    {
+        "abbr": "british_ft_sears_truncated",
+        "conv": 0.914398,
+        "fullname": "British foot (Sears 1922 truncated)",
+        "epsg": 9300,
+    },
+    {
+        "abbr": "british_chain_sears_truncated",
+        "conv": 20.11676,
+        "fullname": "British chain (Sears 1922 truncated)",
+        "epsg": 9301,
+    },
+    {
+        "abbr": "british_chain_benoit",
+        "conv": 20.116782494375872,
+        "fullname": "British chain (Benoit 1895 B)",
+        "epsg": 9062,
+    },
+    {
+        "abbr": "chain_benoit",
+        "conv": 20.116782494375872,
+        "fullname": "Chain (Benoit)",
+        "epsg": 9062,
+    },
+    {
+        "abbr": "link_benoit",
+        "conv": 0.20116782494375872,
+        "fullname": "Link (Benoit)",
+        "epsg": 9063,
+    },
+    {
+        "abbr": "clarke_yd",
+        "conv": 0.9143917962,
+        "fullname": "Clarke's yard",
+        "epsg": 9037,
+    },
+    {
+        "abbr": "clarke_ft",
+        "conv": 0.3047972654,
+        "fullname": "Clarke's Foot",
+        "epsg": 9005,
+    },
+    {
+        "abbr": "clarke_link",
+        "conv": 0.201166195164,
+        "fullname": "Clarke's link",
+        "epsg": 9039,
+    },
+    {
+        "abbr": "clarke_chain",
+        "conv": 20.1166195164,
+        "fullname": "Clarke's chain",
+        "epsg": 9038,
+    },
+    {
+        "abbr": "british_ft_1936",
+        "conv": 0.3048007491,
+        "fullname": "British foot (1936)",
+        "epsg": 9095,
+    },
+    {
+        "abbr": "gold_coast_ft",
+        "conv": 0.3047997101815,
+        "fullname": "Gold Coast foot",
+        "epsg": 9094,
+    },
+    {"abbr": "rod", "conv": 0.1988387815, "fullname": "Rod"},
+    {"abbr": "furlong", "conv": 201.168, "fullname": "Furlong"},
+    {
+        "abbr": "german_m",
+        "conv": 1.0000135965,
+        "fullname": "German legal metre",
+        "epsg": 9031,
+    },
+    {"abbr": "survey_in", "conv": 0.0254000508001016, "fullname": "US survey inch"},
+    {
+        "abbr": "survey_ft",
+        "conv": 0.3048006096012192,
+        "fullname": "US survey foot",
+        "epsg": 9003,
+    },
+    {"abbr": "survey_yd", "conv": 0.9144018288036575, "fullname": "US survey yard"},
+    {
+        "abbr": "survey_lk",
+        "conv": 0.20116840233680463,
+        "fullname": "US survey link",
+        "epsg": 9034,
+    },
+    {
+        "abbr": "survey_ch",
+        "conv": 20.116840233680463,
+        "fullname": "US survey chain",
+        "epsg": 9033,
+    },
+    {
+        "abbr": "survey_mi",
+        "conv": 1609.3472186944373,
+        "fullname": "US survey mile",
+        "epsg": 9035,
+    },
+    {
+        "abbr": "indian_yd",
+        "conv": 0.914398530744441,
+        "fullname": "Indian Yard",
+        "epsg": 9084,
+    },
+    {
+        "abbr": "indian_ft",
+        "conv": 0.3047995104977167,
+        "fullname": "Indian Foot",
+        "epsg": 9080,
+    },
+    {
+        "abbr": "indian_ft_1937",
+        "conv": 0.30479841,
+        "fullname": "Indian Foot",
+        "epsg": 9081,
+    },
+    {
+        "abbr": "indian_ft_1962",
+        "conv": 0.3047996,
+        "fullname": "Indian Foot",
+        "epsg": 9082,
+    },
+    {
+        "abbr": "indian_ft_1975",
+        "conv": 0.3047995,
+        "fullname": "Indian Foot",
+        "epsg": 9083,
+    },
+    {
+        "abbr": "deg",
+        "conv": 1,
+        "fullname": "degree",
+        "epsg": 4326,
+    },  # To allow geodesic conversions
+]
+
+TIME_UNIT_LIST = [
+    {"abbr": "s", "conv": 1, "fullname": "seconds"},
+    {"abbr": "min", "conv": 60, "fullname": "minutes"},
+    {"abbr": "h", "conv": 3600, "fullname": "hours"},
+    {"abbr": "d", "conv": 86400, "fullname": "days"},
+    {"abbr": "a", "conv": 31557600, "fullname": "years"},
+]
 
 
 class MissingCRSWarning(UserWarning, ValueError):
@@ -147,7 +339,7 @@ def __init__(
         if self.crs is None:
             warnings.warn(
                 "Trajectory generated without CRS. Computations will use Euclidean"
-                "distances.",
+                " distances.",
                 category=MissingCRSWarning,
             )
             self.is_latlon = False
@@ -157,6 +349,8 @@ def __init__(
             self.is_latlon = crs.is_geographic
         except NameError:
             self.is_latlon = self.crs["init"] == from_epsg(4326)["init"]
+        if self.crs is not None:
+            self.crs_units = self.crs.axis_info[0].unit_name
 
     def __str__(self):
         try:
@@ -727,18 +921,80 @@ def get_segment_between(self, t1, t2):
             )
         return segment
 
-    def _compute_distance(self, row):
+    def _get_conversion(self, units):
+        # Looks up unit conversions in the unit dictionaries
+        # If distance specified, lookup distance and crs conversions and check time
+        # If time specified, lookup time conversion and check if time2 specified
+        # If time2 specified, lookup time2 conversion
+        # Unit conversions default to 1 if not specified
+        d_conv, t_conv, t2_conv, crs_conv = 1, 1, 1, 1
+        if units.distance is not None:
+            try:
+                d_conv = [
+                    d["conv"]
+                    for d in DISTANCE_UNIT_LIST
+                    if d.get("abbr") == units.distance
+                ][0]
+            except IndexError:
+                raise ValueError("Invalid distance units!")
+            else:
+                try:
+                    crs_conv = [
+                        d["conv"]
+                        for d in DISTANCE_UNIT_LIST
+                        if d.get("fullname") == self.crs_units
+                    ][0]
+                except (IndexError, AttributeError):
+                    crs_conv = 1
+                    warnings.warn(
+                        "No valid CRS distance units. Computations will "
+                        "assume CRS distance units are meters",
+                        category=MissingCRSWarning,
+                    )
+                finally:
+                    if units.time is not None:
+                        try:
+                            t_conv = [
+                                t["conv"]
+                                for t in TIME_UNIT_LIST
+                                if t.get("abbr") == units.time
+                            ][0]
+                        except IndexError:
+                            raise ValueError("Invalid time units!")
+                        else:
+                            if units.time2 is not None:
+                                try:
+                                    t2_conv = [
+                                        t["conv"]
+                                        for t in TIME_UNIT_LIST
+                                        if t.get("abbr") == units.time2
+                                    ][0]
+                                except IndexError:
+                                    raise ValueError("Invalid second time units!")
+        return UNITS(d_conv, t_conv, t2_conv, crs_conv)
+
+    def _compute_distance(self, row, conversion):
         pt0 = row["prev_pt"]
         pt1 = row[self.get_geom_column_name()]
         if not isinstance(pt0, Point):
             return 0.0
+        if not isinstance(pt1, Point):
+            raise ValueError("Invalid trajectory! Got {} instead of point!".format(pt1))
         if pt0 == pt1:
             return 0.0
         if self.is_latlon:
-            dist_meters = measure_distance_geodesic(pt0, pt1)
+            dist_computed = (
+                measure_distance_geodesic(pt0, pt1)
+                * conversion.crs
+                / conversion.distance
+            )
         else:  # The following distance will be in CRS units that might not be meters!
-            dist_meters = measure_distance_euclidean(pt0, pt1)
-        return dist_meters
+            dist_computed = (
+                measure_distance_euclidean(pt0, pt1)
+                * conversion.crs
+                / conversion.distance
+            )
+        return dist_computed
 
     def _add_prev_pt(self, force=True):
         """
@@ -823,7 +1079,7 @@ def _compute_angular_difference(self, row):
         else:
             return angular_difference(degrees1, degrees2)
 
-    def _compute_speed(self, row):
+    def _compute_speed(self, row, conversion):
         pt0 = row["prev_pt"]
         pt1 = row[self.get_geom_column_name()]
         if not isinstance(pt0, Point):
@@ -833,10 +1089,18 @@ def _compute_speed(self, row):
         if pt0 == pt1:
             return 0.0
         if self.is_latlon:
-            dist_meters = measure_distance_geodesic(pt0, pt1)
+            dist_computed = (
+                measure_distance_geodesic(pt0, pt1)
+                * conversion.crs
+                / conversion.distance
+            )
         else:  # The following distance will be in CRS units that might not be meters!
-            dist_meters = measure_distance_euclidean(pt0, pt1)
-        return dist_meters / row["delta_t"].total_seconds()
+            dist_computed = (
+                measure_distance_euclidean(pt0, pt1)
+                * conversion.crs
+                / conversion.distance
+            )
+        return dist_computed / row["delta_t"].total_seconds() * conversion.time
 
     def _connect_prev_pt_and_geometry(self, row):
         pt0 = row["prev_pt"]
@@ -931,17 +1195,96 @@ def add_angular_difference(
         if not direction_exists:
             self.df.drop(columns=[DIRECTION_COL_NAME], inplace=True)
 
-    def add_distance(self, overwrite=False, name=DISTANCE_COL_NAME):
+    def add_distance(self, overwrite=False, name=DISTANCE_COL_NAME, units=None):
         """
         Add distance column and values to the trajectory's DataFrame.
 
-        Distance is calculated as CRS units, except if the CRS is geographic
-        (e.g. EPSG:4326 WGS84) then distance is calculated in meters.
+        Adds a column with the distance to each point from the previous:
+            If no units have been declared:
+                For geographic projections (e.g. EPSG:4326 WGS84), in meters
+                For other projections, in CRS units
+            If units have been declared:
+                For geographic projections, in declared units
+                For known CRS units, in declared units
+                For unknown CRS units, in declared units as if CRS is in meters
 
         Parameters
         ----------
         overwrite : bool
             Whether to overwrite existing distance values (default: False)
+
+        units : str
+            Units in which to calculate distance values (default: CRS units)
+            Allowed:
+                "km": Kilometer
+                "m": metre
+                "dm": Decimeter
+                "cm": Centimeter
+                "mm": Millimeter
+                "nm": International Nautical Mile
+                "inch": International Inch
+                "ft": International Foot
+                "yd": International Yard
+                "mi": International Statute Mile
+                "link": International Link
+                "chain": International Chain
+                "fathom": International Fathom
+                "british_ft": British foot (Sears 1922)
+                "british_yd": British yard (Sears 1922)
+                "british_chain_sears": British chain (Sears 1922)
+                "british_link_sears": British link (Sears 1922)
+                "sears_yd": Yard (Sears)
+                "link_sears": Link (Sears)
+                "chain_sears": Chain (Sears)
+                "british_ft_sears_truncated": British foot (Sears 1922 truncated)
+                "british_chain_sears_truncated": British chain (Sears 1922 truncated)
+                "british_chain_benoit": British chain (Benoit 1895 B)
+                "chain_benoit": Chain (Benoit)
+                "link_benoit": Link (Benoit)
+                "clarke_yd": Clarke's yard
+                "clarke_ft": Clarke’s Foot
+                "clarke_link": Clarke’s link
+                "clarke_chain": Clarke's chain
+                "british_ft_1936": British foot (1936)
+                "gold_coast_ft": Gold Coast foot
+                "rod": Rod
+                "furlong": Furlong
+                "german_m": German legal metre
+                "survey_in": US survey inch
+                "survey_ft": US survey foot
+                "survey_yd": US survey yard
+                "survey_lk": US survey link
+                "survey_ch": US survey chain
+                "survey_mi": US survey mile
+                "indian_yd": Indian Yard
+                "indian_ft": Indian Foot
+                "indian_ft_1937": Indian Foot 1937
+                "indian_ft_1962": Indian Foot 1962
+                "indian_ft_1975": Indian Foot 1975
+
+        Examples
+        ----------
+        If no units are declared, the distance will be calculated
+        in meters for geographic projections (e.g. EPSG:4326 WGS84)
+        and in CRS units for all other projections
+
+        >>>traj.add_distance()
+
+        The default column name is "distance". If a column of this name
+        already exists, a new column name can be specified
+
+        >>>traj.add_distance(name="distance (CRS units)")
+
+        If units are declared, the distance will be calculated in those units
+        except if the CRS units are unknown, in which case the CRS units are
+        assumed to be in meters
+
+        >>>traj.add_distance(units="km")
+
+        It is suggested to declare a name for the new column specifying units
+
+        >>>traj.add_distance(name="distance (miles)", units="mi")
+        >>>traj.add_distance(name="distance (US Survey Feet)", units="survey_ft")
         """
         self.distance_col_name = name
         if self.distance_col_name in self.df.columns and not overwrite:
@@ -950,15 +1293,26 @@ def add_distance(self, overwrite=False, name=DISTANCE_COL_NAME):
                 "Use overwrite=True to overwrite exiting values or update the "
                 "name arg."
             )
-        self.df = self._get_df_with_distance(name)
+        if isinstance(units, tuple):
+            units = UNITS(*units)
+        else:
+            units = UNITS(units)
+        conversion = self._get_conversion(units)
+        self.df = self._get_df_with_distance(conversion, name)
 
-    def add_speed(self, overwrite=False, name=SPEED_COL_NAME):
+    def add_speed(self, overwrite=False, name=SPEED_COL_NAME, units=UNITS()):
         """
         Add speed column and values to the trajectory's DataFrame.
 
-        Speed is calculated as CRS units per second, except if the CRS is
-        geographic (e.g. EPSG:4326 WGS84) then speed is calculated in meters
-        per second.
+        Adds a column with the speed to each point from the previous:
+             If no units have been declared:
+                 For geographic projections, in meters per second
+                 For other projections, in CRS units per second
+             If units have been declared:
+                 For geographic projections, in declared units
+                 For known CRS units, in declared units
+                 For unknown CRS units, in declared units as if CRS distance
+                 units are meters
 
         Parameters
         ----------
@@ -966,6 +1320,91 @@ def add_speed(self, overwrite=False, name=SPEED_COL_NAME):
             Whether to overwrite existing speed values (default: False)
         name : str
             Name of the speed column (default: "speed")
+        units : tuple
+            Units in which to calculate speed
+            distance : str
+                Abbreviation for the distance unit
+                (default: CRS units, or metres if geographic)
+            time : str
+                Abbreviation for the time unit (default: seconds)
+
+            Allowed distance units:
+                "km": Kilometer
+                "m": metre
+                "dm": Decimeter
+                "cm": Centimeter
+                "mm": Millimeter
+                "nm": International Nautical Mile
+                "inch": International Inch
+                "ft": International Foot
+                "yd": International Yard
+                "mi": International Statute Mile
+                "link": International Link
+                "chain": International Chain
+                "fathom": International Fathom
+                "british_ft": British foot (Sears 1922)
+                "british_yd": British yard (Sears 1922)
+                "british_chain_sears": British chain (Sears 1922)
+                "british_link_sears": British link (Sears 1922)
+                "sears_yd": Yard (Sears)
+                "link_sears": Link (Sears)
+                "chain_sears": Chain (Sears)
+                "british_ft_sears_truncated": British foot (Sears 1922 truncated)
+                "british_chain_sears_truncated": British chain (Sears 1922 truncated)
+                "british_chain_benoit": British chain (Benoit 1895 B)
+                "chain_benoit": Chain (Benoit)
+                "link_benoit": Link (Benoit)
+                "clarke_yd": Clarke's yard
+                "clarke_ft": Clarke’s Foot
+                "clarke_link": Clarke’s link
+                "clarke_chain": Clarke's chain
+                "british_ft_1936": British foot (1936)
+                "gold_coast_ft": Gold Coast foot
+                "rod": Rod
+                "furlong": Furlong
+                "german_m": German legal metre
+                "survey_in": US survey inch
+                "survey_ft": US survey foot
+                "survey_yd": US survey yard
+                "survey_lk": US survey link
+                "survey_ch": US survey chain
+                "survey_mi": US survey mile
+                "indian_yd": Indian Yard
+                "indian_ft": Indian Foot
+                "indian_ft_1937": Indian Foot 1937
+                "indian_ft_1962": Indian Foot 1962
+                "indian_ft_1975": Indian Foot 1975
+
+            Allowed time units:
+                "s": seconds
+                "min": minutes
+                "h": hours
+                "d": days
+                "a": years
+
+        Examples
+        ----------
+        If no units are declared, the speed will be calculated
+        in meters per second for geographic projections (e.g. EPSG:4326 WGS84)
+        and in CRS distance units per second for all other projections
+
+        >>>traj.add_speed()
+
+        The default column name is "speed". If a column of this name
+        already exists, a new column name can be specified
+
+        >>>traj.add_speed(name="speed (CRS units)")
+
+        If units are declared, the speed will be calculated in those units
+        except if the CRS distance units are unknown, in which case the
+        CRS distance units are assumed to be meters
+
+        >>>traj.add_speed(units=("km", "h"))
+
+        It is suggested to declare a name for the new column specifying units
+
+        >>>traj.add_speed(name="speed (mph)", units=("mi", "h"))
+        >>>traj.add_speed(name="US Survey Feet/s", units=("survey_ft", "s"))
         """
         self.speed_col_name = name
         if self.speed_col_name in self.df.columns and not overwrite:
@@ -974,34 +1413,126 @@ def add_speed(self, overwrite=False, name=SPEED_COL_NAME):
                 f"Use overwrite=True to overwrite exiting values or update the "
                 f"name arg."
             )
-        self.df = self._get_df_with_speed(name)
-
-    def _get_df_with_acceleration(self, name=ACCELERATION_COL_NAME):
-        # Avoid computing speed again if already computed
-        if hasattr(self, "speed_col_name"):
-            temp_df = self.df.copy()
+        if isinstance(units, tuple):
+            units = UNITS(*units)
         else:
-            temp_df = self._get_df_with_speed(name=SPEED_COL_NAME)
-        speed_column_name = self.get_speed_column_name()
-        temp_df[name] = (
-            temp_df[speed_column_name].diff()
-            / temp_df.index.to_series().diff().dt.total_seconds()
-        )
-        # set the acceleration in the first row to the acceleration of the
-        # second row
-        temp_df.at[self.get_start_time(), name] = temp_df.iloc[1][name]
-        if hasattr(self, "speed_col_name"):
-            return temp_df
-        else:
-            return temp_df.drop(columns=[speed_column_name])
+            units = UNITS(units)
+        conversion = self._get_conversion(units)
+        self.df = self._get_df_with_speed(conversion, name)
 
-    def add_acceleration(self, overwrite=False, name=ACCELERATION_COL_NAME):
+    def add_acceleration(
+        self, overwrite=False, name=ACCELERATION_COL_NAME, units=UNITS()
+    ):
         """
         Add acceleration column and values to the trajectory's DataFrame.
 
-        Acceleration is calculated as CRS units per second squared,
-        except if the CRS is geographic (e.g. EPSG:4326 WGS84) then speed is
-        calculated in meters per second squared.
+        Adds a column with the acceleration to each point from the previous:
+             If no units have been declared:
+                 For geographic projections, in meters per second squared
+                 For other projections, in CRS units per second squared
+             If units have been declared:
+                 For geographic projections, using declared units
+                 For known CRS units, using declared units
+                 For unknown CRS units, using declared units as if CRS distance
+                 units are meters
+                 If only distance units are declared, returns
+                     distance per second squared
+                 If distance and one time unit declared, returns
+                     distance/time per second
+
+        Parameters
+        ----------
+        overwrite : bool
+            Whether to overwrite existing speed values (default: False)
+        name : str
+            Name of the acceleration column (default: "acceleration")
+        units : tuple
+            Units in which to calculate acceleration
+            distance : str
+                Abbreviation for the distance unit
+                (default: CRS units, or metres if geographic)
+            time : str
+                Abbreviation for the time unit (default: seconds)
+            time2 : str
+                Abbreviation for the second time unit (default: seconds)
+
+            Allowed distance units:
+                "km": Kilometer
+                "m": metre
+                "dm": Decimeter
+                "cm": Centimeter
+                "mm": Millimeter
+                "nm": International Nautical Mile
+                "inch": International Inch
+                "ft": International Foot
+                "yd": International Yard
+                "mi": International Statute Mile
+                "link": International Link
+                "chain": International Chain
+                "fathom": International Fathom
+                "british_ft": British foot (Sears 1922)
+                "british_yd": British yard (Sears 1922)
+                "british_chain_sears": British chain (Sears 1922)
+                "british_link_sears": British link (Sears 1922)
+                "sears_yd": Yard (Sears)
+                "link_sears": Link (Sears)
+                "chain_sears": Chain (Sears)
+                "british_ft_sears_truncated": British foot (Sears 1922 truncated)
+                "british_chain_sears_truncated": British chain (Sears 1922 truncated)
+                "british_chain_benoit": British chain (Benoit 1895 B)
+                "chain_benoit": Chain (Benoit)
+                "link_benoit": Link (Benoit)
+                "clarke_yd": Clarke's yard
+                "clarke_ft": Clarke’s Foot
+                "clarke_link": Clarke’s link
+                "clarke_chain": Clarke's chain
+                "british_ft_1936": British foot (1936)
+                "gold_coast_ft": Gold Coast foot
+                "rod": Rod
+                "furlong": Furlong
+                "german_m": German legal metre
+                "survey_in": US survey inch
+                "survey_ft": US survey foot
+                "survey_yd": US survey yard
+                "survey_lk": US survey link
+                "survey_ch": US survey chain
+                "survey_mi": US survey mile
+                "indian_yd": Indian Yard
+                "indian_ft": Indian Foot
+                "indian_ft_1937": Indian Foot 1937
+                "indian_ft_1962": Indian Foot 1962
+                "indian_ft_1975": Indian Foot 1975
+
+            Allowed time units:
+                "s": seconds
+                "min": minutes
+                "h": hours
+                "d": days
+                "a": years
+
+        Examples
+        ----------
+        If no units are declared, the acceleration will be calculated
+        in meters per second squared for geographic projections and
+        in CRS distance units per second squared for all other projections
+
+        >>>traj.add_acceleration()
+
+        The default column name is "acceleration". If a column of this name
+        already exists, a new column name can be specified
+
+        >>>traj.add_acceleration(name="acceleration (CRS units/s2)")
+
+        If units are declared, acceleration will be calculated in those units
+        except if the CRS distance units are unknown, in which case the
+        CRS distance units are assumed to be meters
+
+        >>>traj.add_acceleration(units=("km", "h", "s"))
+
+        It is suggested to declare a name for the new column specifying units
+
+        >>>traj.add_acceleration(name="US Survey Feet/s2", units=("survey_ft", "s"))
+        >>>traj.add_acceleration(name="mph/s", units=("mi", "h", "s"))
         """
         self.acceleration_col_name = name
         if self.acceleration_col_name in self.df.columns and not overwrite:
@@ -1010,7 +1541,12 @@ def add_acceleration(self, overwrite=False, name=ACCELERATION_COL_NAME):
                 f"Use overwrite=True to overwrite exiting values or update the "
                 f"name arg."
             )
-        self.df = self._get_df_with_acceleration(name)
+        if isinstance(units, tuple):
+            units = UNITS(*units)
+        else:
+            units = UNITS(units)
+        conversion = self._get_conversion(units)
+        self.df = self._get_df_with_acceleration(conversion, name)
 
     def add_timedelta(self, overwrite=False, name=TIMEDELTA_COL_NAME):
         """
@@ -1041,11 +1577,13 @@ def _get_df_with_timedelta(self, name=TIMEDELTA_COL_NAME):
         temp_df[name] = times.diff().values
         return temp_df
 
-    def _get_df_with_distance(self, name=DISTANCE_COL_NAME):
+    def _get_df_with_distance(self, conversion, name=DISTANCE_COL_NAME):
         temp_df = self.df.copy()
         temp_df = temp_df.assign(prev_pt=temp_df.geometry.shift())
         try:
-            temp_df[name] = temp_df.apply(self._compute_distance, axis=1)
+            temp_df[name] = temp_df.apply(
+                self._compute_distance, conversion=conversion, axis=1
+            )
         except ValueError as e:
             raise e
         # set the distance in the first row to zero
@@ -1053,11 +1591,13 @@ def _get_df_with_distance(self, name=DISTANCE_COL_NAME):
         temp_df = temp_df.drop(columns=["prev_pt"])
         return temp_df
 
-    def _get_df_with_speed(self, name=SPEED_COL_NAME):
+    def _get_df_with_speed(self, conversion, name=SPEED_COL_NAME):
         temp_df = self._get_df_with_timedelta(name="delta_t")
         temp_df = temp_df.assign(prev_pt=temp_df.geometry.shift())
         try:
-            temp_df[name] = temp_df.apply(self._compute_speed, axis=1)
+            temp_df[name] = temp_df.apply(
+                self._compute_speed, conversion=conversion, axis=1
+            )
         except ValueError as e:
             raise e
         # set the speed in the first row to the speed of the second row
@@ -1065,6 +1605,18 @@ def _get_df_with_speed(self, name=SPEED_COL_NAME):
         temp_df = temp_df.drop(columns=["prev_pt", "delta_t"])
         return temp_df
 
+    def _get_df_with_acceleration(self, conversion, name=ACCELERATION_COL_NAME):
+        temp_df = self._get_df_with_speed(conversion, name="speed_temp")
+        temp_df[name] = (
+            temp_df["speed_temp"].diff()
+            / temp_df.index.to_series().diff().dt.total_seconds()
+            * conversion.time2
+        )
+        # set the acceleration in the first row to the acceleration of the
+        # second row
+        temp_df.at[self.get_start_time(), name] = temp_df.iloc[1][name]
+        return temp_df.drop(columns=["speed_temp"])
+
     def intersects(self, polygon):
         """
         Return whether the trajectory intersects the given polygon.
diff --git a/tutorials/1-getting-started.ipynb b/tutorials/1-getting-started.ipynb
index cced3391..b319e659 100644
--- a/tutorials/1-getting-started.ipynb
+++ b/tutorials/1-getting-started.ipynb
@@ -137,11 +137,33 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Visualizing trajectories\n",
-    "\n",
-    "To **visualize the trajectory**, we can turn it into a linestring.\n",
+    "## Processing trajectories\n",
     "\n",
-    "(The notebook environment automatically plots Shapely geometry objects like the LineString returned by to_linestring().)"
+    "We can **compute the distance, speed, and acceleration** of movement along the trajectory (between consecutive points). The default distance units are **meters** (or **CRS units**, if the CRS units are not known or specified), and the default time units are **seconds**:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "toy_traj.add_distance(overwrite=True)\n",
+    "toy_traj.df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "toy_traj.add_speed(overwrite=True)\n",
+    "toy_traj.df"
    ]
   },
   {
@@ -150,26 +172,53 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "toy_traj.to_linestring()"
+    "toy_traj.add_acceleration(overwrite=True)\n",
+    "toy_traj.df"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "We can **compute the speed** of movement along the trajectory (between consecutive points). The values are in meters per second:"
+    "If you want to use different units, you can specify them. Allowed units include metric units from mm to km, imperial units from inch to mile, nautical miles, and non-standard units which are used as CRS distance units e.g. US Survey units."
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
-    "toy_traj.add_speed(overwrite=True)\n",
+    "toy_traj.add_distance(overwrite=True, name=\"distance (km)\", units=\"km\")\n",
+    "toy_traj.add_distance(overwrite=True, name=\"distance (yards)\", units=\"yd\")\n",
+    "toy_traj.add_speed(overwrite=True, name=\"speed (ft/min)\", units=(\"ft\", \"min\"))\n",
+    "toy_traj.add_speed(overwrite=True, name=\"speed (knots)\", units=(\"nm\", \"h\"))\n",
+    "toy_traj.add_acceleration(overwrite=True, name=\"acceleration (mph/s)\", units=(\"mi\", \"h\", \"s\"))\n",
     "toy_traj.df"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Visualizing trajectories\n",
+    "\n",
+    "To **visualize the trajectory**, we can turn it into a linestring.\n",
+    "\n",
+    "(The notebook environment automatically plots Shapely geometry objects like the LineString returned by to_linestring().)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "toy_traj.to_linestring()"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -958,7 +1007,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.8"
+   "version": "3.10.10"
   }
  },
  "nbformat": 4,
diff --git a/tutorials/2-reading-data-from-files.ipynb b/tutorials/2-reading-data-from-files.ipynb
index e3c969c8..87b04413 100644
--- a/tutorials/2-reading-data-from-files.ipynb
+++ b/tutorials/2-reading-data-from-files.ipynb
@@ -71,7 +71,7 @@
     "%%time\n",
     "gdf = read_file('data/demodata_geolife.gpkg')\n",
     "gdf['t'] = pd.to_datetime(gdf['t'])\n",
-    "gdf = gdf.set_index('t').tz_localize(None)\n",
+    "gdf = gdf.set_index('t')\n",
     "traj_collection = mpd.TrajectoryCollection(gdf, 'trajectory_id')\n",
     "print(traj_collection)"
    ]
@@ -112,6 +112,14 @@
     "print(traj_collection)"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "d7abb551-38df-45de-b601-5a793f07766f",
+   "metadata": {},
+   "source": [
+    "Note that any MovingPandas treats all times as local times - if you need to use a different time zone, you will have to convert your data before creating trajectories or trajectory collections."
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "8a4ed663",
@@ -133,6 +141,81 @@
     "traj_collection.hvplot(title=str(traj_collection), line_width=5, **hvplot_defaults)"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "eb563703-7f8e-417c-8e4f-ec2aa17ac4e1",
+   "metadata": {},
+   "source": [
+    "## Reading GPX files"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8505f911-95b2-4ffc-a080-95670ffd7eec",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "%%time\n",
+    "gdf = read_file('data/304 to UL 2019-02-18 0745.gpx', layer='track_points').set_index('time')\n",
+    "gdf.drop(columns=['track_fid', 'track_seg_id', 'ele', 'magvar', 'geoidheight', 'name', 'cmt', 'desc', 'src', \n",
+    "                  'link1_href', 'link1_text', 'link1_type', 'link2_href', 'link2_text', 'link2_type', 'sym', \n",
+    "                  'type', 'fix', 'sat', 'hdop', 'vdop', 'pdop', 'ageofdgpsdata', 'dgpsid'], inplace=True) \n",
+    "traj = mpd.Trajectory(gdf, \"2019-02-18 0745\", obj_id=\"304\")\n",
+    "traj.add_distance()\n",
+    "traj.add_speed(name=\"speed (kph)\", units=(\"km\", \"h\"))\n",
+    "traj"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ea2ed02f-a53a-44ef-b1ac-3188ef00821a",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "traj.df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5f5ba02a-d82e-4c56-a0ad-d59fe2f27539",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "traj.plot()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "cfa7beb7-7bc2-4f69-9f58-18f0b286909b",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "traj.hvplot(\n",
+    "    c='speed (kph)', \n",
+    "    clim=(0,60), \n",
+    "    line_width=7.0, \n",
+    "    title=\"Bus {} departing {}\".format(traj.obj_id, traj.id),\n",
+    "    xlabel=\"Longitude\",\n",
+    "    ylabel=\"Latitude\",\n",
+    "    clabel='Speed (km/h)', \n",
+    "    tiles='CartoLight', \n",
+    "    cmap='RdYlGn', \n",
+    "    colorbar=True\n",
+    ") * read_file(\"data/stops_304_to_ul.gpkg\").hvplot(geo=True, size=40, marker=\"+\", color='blue')"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "eeeadeb1-0f5c-4037-98e0-4f61fda45573",
@@ -353,7 +436,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.8"
+   "version": "3.10.10"
   },
   "vscode": {
    "interpreter": {
diff --git a/tutorials/data/304 to UL 2019-02-18 0745.gpx b/tutorials/data/304 to UL 2019-02-18 0745.gpx
new file mode 100644
index 00000000..ded80e03
--- /dev/null
+++ b/tutorials/data/304 to UL 2019-02-18 0745.gpx
@@ -0,0 +1,8588 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<gpx creator="StravaGPX Android" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.topografix.com/GPX/1/1 http://www.topografix.com/GPX/1/1/gpx.xsd" version="1.1" xmlns="http://www.topografix.com/GPX/1/1">
+ <metadata>
+  <time>2019-02-18T07:45:50Z</time>
+ </metadata>
+ <trk>
+  <name>304.1</name>
+  <type>18</type>
+  <trkseg>
+   <trkpt lat="52.6291510" lon="-8.6617460">
+    <ele>19.5</ele>
+    <time>2019-02-18T07:45:50Z</time>
+   </trkpt>
+   <trkpt lat="52.6291030" lon="-8.6617230">
+    <ele>19.5</ele>
+    <time>2019-02-18T07:45:52Z</time>
+   </trkpt>
+   <trkpt lat="52.6291220" lon="-8.6617760">
+    <ele>19.6</ele>
+    <time>2019-02-18T07:45:54Z</time>
+   </trkpt>
+   <trkpt lat="52.6291580" lon="-8.6618120">
+    <ele>19.6</ele>
+    <time>2019-02-18T07:45:55Z</time>
+   </trkpt>
+   <trkpt lat="52.6291930" lon="-8.6617910">
+    <ele>19.6</ele>
+    <time>2019-02-18T07:45:56Z</time>
+   </trkpt>
+   <trkpt lat="52.6291670" lon="-8.6617790">
+    <ele>19.6</ele>
+    <time>2019-02-18T07:45:57Z</time>
+   </trkpt>
+   <trkpt lat="52.6291410" lon="-8.6617600">
+    <ele>19.6</ele>
+    <time>2019-02-18T07:46:01Z</time>
+   </trkpt>
+   <trkpt lat="52.6291730" lon="-8.6617540">
+    <ele>19.6</ele>
+    <time>2019-02-18T07:46:08Z</time>
+   </trkpt>
+   <trkpt lat="52.6291600" lon="-8.6617950">
+    <ele>19.6</ele>
+    <time>2019-02-18T07:47:05Z</time>
+   </trkpt>
+   <trkpt lat="52.6291870" lon="-8.6617870">
+    <ele>19.6</ele>
+    <time>2019-02-18T07:48:17Z</time>
+   </trkpt>
+   <trkpt lat="52.6292070" lon="-8.6617560">
+    <ele>19.6</ele>
+    <time>2019-02-18T07:49:03Z</time>
+   </trkpt>
+   <trkpt lat="52.6291970" lon="-8.6617090">
+    <ele>19.6</ele>
+    <time>2019-02-18T07:49:25Z</time>
+   </trkpt>
+   <trkpt lat="52.6291730" lon="-8.6617340">
+    <ele>19.7</ele>
+    <time>2019-02-18T07:49:32Z</time>
+   </trkpt>
+   <trkpt lat="52.6291710" lon="-8.6616900">
+    <ele>19.7</ele>
+    <time>2019-02-18T07:49:47Z</time>
+   </trkpt>
+   <trkpt lat="52.6291910" lon="-8.6616500">
+    <ele>19.7</ele>
+    <time>2019-02-18T07:50:04Z</time>
+   </trkpt>
+   <trkpt lat="52.6292230" lon="-8.6615940">
+    <ele>19.7</ele>
+    <time>2019-02-18T07:50:06Z</time>
+   </trkpt>
+   <trkpt lat="52.6292480" lon="-8.6615530">
+    <ele>19.7</ele>
+    <time>2019-02-18T07:50:07Z</time>
+   </trkpt>
+   <trkpt lat="52.6292790" lon="-8.6615040">
+    <ele>19.7</ele>
+    <time>2019-02-18T07:50:08Z</time>
+   </trkpt>
+   <trkpt lat="52.6293290" lon="-8.6614300">
+    <ele>19.7</ele>
+    <time>2019-02-18T07:50:09Z</time>
+   </trkpt>
+   <trkpt lat="52.6293720" lon="-8.6613740">
+    <ele>19.8</ele>
+    <time>2019-02-18T07:50:10Z</time>
+   </trkpt>
+   <trkpt lat="52.6294190" lon="-8.6613260">
+    <ele>19.8</ele>
+    <time>2019-02-18T07:50:11Z</time>
+   </trkpt>
+   <trkpt lat="52.6294610" lon="-8.6612820">
+    <ele>19.8</ele>
+    <time>2019-02-18T07:50:12Z</time>
+   </trkpt>
+   <trkpt lat="52.6295000" lon="-8.6612440">
+    <ele>19.8</ele>
+    <time>2019-02-18T07:50:13Z</time>
+   </trkpt>
+   <trkpt lat="52.6295320" lon="-8.6612090">
+    <ele>19.8</ele>
+    <time>2019-02-18T07:50:14Z</time>
+   </trkpt>
+   <trkpt lat="52.6295590" lon="-8.6611780">
+    <ele>19.8</ele>
+    <time>2019-02-18T07:50:15Z</time>
+   </trkpt>
+   <trkpt lat="52.6295850" lon="-8.6611520">
+    <ele>19.8</ele>
+    <time>2019-02-18T07:50:16Z</time>
+   </trkpt>
+   <trkpt lat="52.6296100" lon="-8.6611270">
+    <ele>19.9</ele>
+    <time>2019-02-18T07:50:17Z</time>
+   </trkpt>
+   <trkpt lat="52.6296450" lon="-8.6610930">
+    <ele>19.9</ele>
+    <time>2019-02-18T07:50:19Z</time>
+   </trkpt>
+   <trkpt lat="52.6296710" lon="-8.6610260">
+    <ele>20.0</ele>
+    <time>2019-02-18T07:50:21Z</time>
+   </trkpt>
+   <trkpt lat="52.6296780" lon="-8.6609700">
+    <ele>20.0</ele>
+    <time>2019-02-18T07:50:22Z</time>
+   </trkpt>
+   <trkpt lat="52.6296740" lon="-8.6609110">
+    <ele>20.1</ele>
+    <time>2019-02-18T07:50:23Z</time>
+   </trkpt>
+   <trkpt lat="52.6296590" lon="-8.6608520">
+    <ele>20.3</ele>
+    <time>2019-02-18T07:50:24Z</time>
+   </trkpt>
+   <trkpt lat="52.6296370" lon="-8.6607900">
+    <ele>20.4</ele>
+    <time>2019-02-18T07:50:25Z</time>
+   </trkpt>
+   <trkpt lat="52.6296150" lon="-8.6607260">
+    <ele>20.6</ele>
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+    <ele>20.8</ele>
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+    <ele>20.9</ele>
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+   <trkpt lat="52.6295280" lon="-8.6604750">
+    <ele>21.1</ele>
+    <time>2019-02-18T07:50:29Z</time>
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+   <trkpt lat="52.6295000" lon="-8.6603720">
+    <ele>21.3</ele>
+    <time>2019-02-18T07:50:30Z</time>
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+   <trkpt lat="52.6294710" lon="-8.6602650">
+    <ele>21.5</ele>
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+   <trkpt lat="52.6294430" lon="-8.6601530">
+    <ele>21.6</ele>
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+   <trkpt lat="52.6294110" lon="-8.6600340">
+    <ele>21.8</ele>
+    <time>2019-02-18T07:50:33Z</time>
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+   <trkpt lat="52.6293770" lon="-8.6599240">
+    <ele>22.0</ele>
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+   <trkpt lat="52.6293460" lon="-8.6598040">
+    <ele>22.1</ele>
+    <time>2019-02-18T07:50:35Z</time>
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+   <trkpt lat="52.6293080" lon="-8.6596790">
+    <ele>22.4</ele>
+    <time>2019-02-18T07:50:36Z</time>
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+   <trkpt lat="52.6292660" lon="-8.6595590">
+    <ele>22.4</ele>
+    <time>2019-02-18T07:50:37Z</time>
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+   <trkpt lat="52.6292220" lon="-8.6594360">
+    <ele>22.4</ele>
+    <time>2019-02-18T07:50:38Z</time>
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+   <trkpt lat="52.6291780" lon="-8.6593090">
+    <ele>22.4</ele>
+    <time>2019-02-18T07:50:39Z</time>
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+   <trkpt lat="52.6291310" lon="-8.6591850">
+    <ele>22.4</ele>
+    <time>2019-02-18T07:50:40Z</time>
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+   <trkpt lat="52.6290760" lon="-8.6590560">
+    <ele>22.4</ele>
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+    <ele>22.4</ele>
+    <time>2019-02-18T07:50:42Z</time>
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+   <trkpt lat="52.6289730" lon="-8.6587970">
+    <ele>22.6</ele>
+    <time>2019-02-18T07:50:43Z</time>
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+   <trkpt lat="52.6289240" lon="-8.6586660">
+    <ele>22.8</ele>
+    <time>2019-02-18T07:50:44Z</time>
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+    <ele>23.1</ele>
+    <time>2019-02-18T07:50:45Z</time>
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+   <trkpt lat="52.6288170" lon="-8.6584000">
+    <ele>23.4</ele>
+    <time>2019-02-18T07:50:46Z</time>
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+   <trkpt lat="52.6287630" lon="-8.6582660">
+    <ele>23.7</ele>
+    <time>2019-02-18T07:50:47Z</time>
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+   <trkpt lat="52.6287110" lon="-8.6581340">
+    <ele>23.9</ele>
+    <time>2019-02-18T07:50:48Z</time>
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+   <trkpt lat="52.6286530" lon="-8.6579970">
+    <ele>23.9</ele>
+    <time>2019-02-18T07:50:49Z</time>
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+   <trkpt lat="52.6285930" lon="-8.6578580">
+    <ele>23.9</ele>
+    <time>2019-02-18T07:50:50Z</time>
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+   <trkpt lat="52.6285260" lon="-8.6577250">
+    <ele>23.9</ele>
+    <time>2019-02-18T07:50:51Z</time>
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+   <trkpt lat="52.6284610" lon="-8.6575830">
+    <ele>23.9</ele>
+    <time>2019-02-18T07:50:52Z</time>
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+   <trkpt lat="52.6283990" lon="-8.6574490">
+    <ele>23.8</ele>
+    <time>2019-02-18T07:50:53Z</time>
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+   <trkpt lat="52.6283380" lon="-8.6573240">
+    <ele>23.8</ele>
+    <time>2019-02-18T07:50:54Z</time>
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+   <trkpt lat="52.6282740" lon="-8.6571960">
+    <ele>23.6</ele>
+    <time>2019-02-18T07:50:55Z</time>
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+   <trkpt lat="52.6282150" lon="-8.6570660">
+    <ele>23.4</ele>
+    <time>2019-02-18T07:50:56Z</time>
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+   <trkpt lat="52.6281550" lon="-8.6569380">
+    <ele>23.1</ele>
+    <time>2019-02-18T07:50:57Z</time>
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+   <trkpt lat="52.6280950" lon="-8.6568140">
+    <ele>22.9</ele>
+    <time>2019-02-18T07:50:58Z</time>
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+   <trkpt lat="52.6280350" lon="-8.6566920">
+    <ele>22.7</ele>
+    <time>2019-02-18T07:50:59Z</time>
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+    <ele>22.3</ele>
+    <time>2019-02-18T07:51:00Z</time>
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+   <trkpt lat="52.6279220" lon="-8.6564150">
+    <ele>21.9</ele>
+    <time>2019-02-18T07:51:01Z</time>
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+    <ele>21.5</ele>
+    <time>2019-02-18T07:51:02Z</time>
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+   <trkpt lat="52.6277980" lon="-8.6561400">
+    <ele>21.1</ele>
+    <time>2019-02-18T07:51:03Z</time>
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+    <ele>21.0</ele>
+    <time>2019-02-18T07:51:04Z</time>
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+    <ele>21.0</ele>
+    <time>2019-02-18T07:51:05Z</time>
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+    <ele>21.0</ele>
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+    <ele>20.9</ele>
+    <time>2019-02-18T07:51:09Z</time>
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+    <ele>20.8</ele>
+    <time>2019-02-18T07:51:10Z</time>
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+    <ele>20.6</ele>
+    <time>2019-02-18T07:51:11Z</time>
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+   <trkpt lat="52.6271620" lon="-8.6549860">
+    <ele>20.2</ele>
+    <time>2019-02-18T07:51:12Z</time>
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+    <ele>19.7</ele>
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+    <time>2019-02-18T07:51:16Z</time>
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+    <time>2019-02-18T07:51:17Z</time>
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+    <ele>19.1</ele>
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+    <ele>19.2</ele>
+    <time>2019-02-18T07:51:19Z</time>
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+    <ele>19.3</ele>
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+    <ele>19.6</ele>
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+    <ele>19.8</ele>
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+    <ele>19.8</ele>
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+    <ele>19.9</ele>
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+    <ele>20.1</ele>
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+    <ele>20.2</ele>
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+    <ele>20.2</ele>
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+    <ele>20.3</ele>
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+    <ele>20.4</ele>
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+    <ele>20.5</ele>
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+    <ele>20.5</ele>
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+    <ele>20.6</ele>
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+    <ele>20.6</ele>
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+    <ele>20.5</ele>
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+    <ele>20.5</ele>
+    <time>2019-02-18T07:51:40Z</time>
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+    <ele>20.4</ele>
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+    <ele>20.5</ele>
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+    <ele>20.6</ele>
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+    <ele>20.7</ele>
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+    <ele>20.8</ele>
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+    <ele>20.8</ele>
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+    <ele>20.9</ele>
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+    <ele>20.9</ele>
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+    <ele>21.0</ele>
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+    <time>2019-02-18T07:51:51Z</time>
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+    <ele>21.1</ele>
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+    <ele>21.1</ele>
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+    <ele>21.1</ele>
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+    <ele>21.1</ele>
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+    <ele>21.1</ele>
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+    <ele>21.1</ele>
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+    <ele>21.1</ele>
+    <time>2019-02-18T07:52:10Z</time>
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+    <ele>21.1</ele>
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+    <ele>21.1</ele>
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+    <ele>21.0</ele>
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+    <ele>21.0</ele>
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+    <ele>20.8</ele>
+    <time>2019-02-18T07:52:15Z</time>
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+    <ele>20.7</ele>
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+    <ele>20.6</ele>
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+    <ele>20.5</ele>
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+    <ele>20.4</ele>
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+    <ele>20.3</ele>
+    <time>2019-02-18T07:52:20Z</time>
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+    <ele>20.3</ele>
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+    <ele>20.3</ele>
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+    <ele>20.3</ele>
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+    <ele>20.3</ele>
+    <time>2019-02-18T07:52:24Z</time>
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+    <ele>20.3</ele>
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+    <ele>20.3</ele>
+    <time>2019-02-18T07:52:26Z</time>
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+    <ele>20.3</ele>
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+    <ele>20.3</ele>
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+    <ele>20.3</ele>
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+    <ele>20.3</ele>
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+    <ele>20.3</ele>
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+   <trkpt lat="52.6714630" lon="-8.5759880">
+    <ele>9.9</ele>
+    <time>2019-02-18T08:58:10Z</time>
+   </trkpt>
+   <trkpt lat="52.6715150" lon="-8.5759650">
+    <ele>9.9</ele>
+    <time>2019-02-18T08:58:11Z</time>
+   </trkpt>
+   <trkpt lat="52.6715630" lon="-8.5759510">
+    <ele>9.9</ele>
+    <time>2019-02-18T08:58:12Z</time>
+   </trkpt>
+   <trkpt lat="52.6716150" lon="-8.5759510">
+    <ele>10.0</ele>
+    <time>2019-02-18T08:58:13Z</time>
+   </trkpt>
+   <trkpt lat="52.6716650" lon="-8.5759600">
+    <ele>10.0</ele>
+    <time>2019-02-18T08:58:14Z</time>
+   </trkpt>
+   <trkpt lat="52.6717560" lon="-8.5759290">
+    <ele>10.0</ele>
+    <time>2019-02-18T08:58:15Z</time>
+   </trkpt>
+   <trkpt lat="52.6717280" lon="-8.5759180">
+    <ele>10.1</ele>
+    <time>2019-02-18T08:58:18Z</time>
+   </trkpt>
+   <trkpt lat="52.6717020" lon="-8.5758890">
+    <ele>10.1</ele>
+    <time>2019-02-18T08:58:20Z</time>
+   </trkpt>
+   <trkpt lat="52.6717320" lon="-8.5758850">
+    <ele>10.1</ele>
+    <time>2019-02-18T08:58:35Z</time>
+   </trkpt>
+   <trkpt lat="52.6717600" lon="-8.5758910">
+    <ele>10.1</ele>
+    <time>2019-02-18T08:58:40Z</time>
+   </trkpt>
+   <trkpt lat="52.6717650" lon="-8.5759410">
+    <ele>10.1</ele>
+    <time>2019-02-18T08:59:03Z</time>
+   </trkpt>
+   <trkpt lat="52.6717770" lon="-8.5758960">
+    <ele>10.1</ele>
+    <time>2019-02-18T08:59:10Z</time>
+   </trkpt>
+   <trkpt lat="52.6717990" lon="-8.5758620">
+    <ele>10.2</ele>
+    <time>2019-02-18T08:59:11Z</time>
+   </trkpt>
+   <trkpt lat="52.6718240" lon="-8.5758190">
+    <ele>10.2</ele>
+    <time>2019-02-18T08:59:12Z</time>
+   </trkpt>
+   <trkpt lat="52.6718460" lon="-8.5757770">
+    <ele>10.2</ele>
+    <time>2019-02-18T08:59:13Z</time>
+   </trkpt>
+   <trkpt lat="52.6718830" lon="-8.5757310">
+    <ele>10.3</ele>
+    <time>2019-02-18T08:59:14Z</time>
+   </trkpt>
+   <trkpt lat="52.6720020" lon="-8.5756240">
+    <ele>10.4</ele>
+    <time>2019-02-18T08:59:15Z</time>
+   </trkpt>
+   <trkpt lat="52.6720500" lon="-8.5755600">
+    <ele>10.4</ele>
+    <time>2019-02-18T08:59:16Z</time>
+   </trkpt>
+   <trkpt lat="52.6720970" lon="-8.5755170">
+    <ele>10.5</ele>
+    <time>2019-02-18T08:59:17Z</time>
+   </trkpt>
+   <trkpt lat="52.6721580" lon="-8.5755220">
+    <ele>10.6</ele>
+    <time>2019-02-18T08:59:18Z</time>
+   </trkpt>
+   <trkpt lat="52.6721970" lon="-8.5754920">
+    <ele>10.6</ele>
+    <time>2019-02-18T08:59:19Z</time>
+   </trkpt>
+   <trkpt lat="52.6722220" lon="-8.5754530">
+    <ele>10.7</ele>
+    <time>2019-02-18T08:59:20Z</time>
+   </trkpt>
+   <trkpt lat="52.6722590" lon="-8.5754130">
+    <ele>10.8</ele>
+    <time>2019-02-18T08:59:22Z</time>
+   </trkpt>
+   <trkpt lat="52.6722660" lon="-8.5753310">
+    <ele>10.9</ele>
+    <time>2019-02-18T08:59:24Z</time>
+   </trkpt>
+   <trkpt lat="52.6723010" lon="-8.5753200">
+    <ele>10.9</ele>
+    <time>2019-02-18T08:59:25Z</time>
+   </trkpt>
+   <trkpt lat="52.6723340" lon="-8.5752850">
+    <ele>10.9</ele>
+    <time>2019-02-18T08:59:26Z</time>
+   </trkpt>
+   <trkpt lat="52.6723770" lon="-8.5752420">
+    <ele>10.9</ele>
+    <time>2019-02-18T08:59:27Z</time>
+   </trkpt>
+   <trkpt lat="52.6724040" lon="-8.5751670">
+    <ele>11.0</ele>
+    <time>2019-02-18T08:59:28Z</time>
+   </trkpt>
+   <trkpt lat="52.6724060" lon="-8.5750470">
+    <ele>11.1</ele>
+    <time>2019-02-18T08:59:29Z</time>
+   </trkpt>
+   <trkpt lat="52.6724100" lon="-8.5749340">
+    <ele>11.2</ele>
+    <time>2019-02-18T08:59:30Z</time>
+   </trkpt>
+   <trkpt lat="52.6724050" lon="-8.5748310">
+    <ele>11.3</ele>
+    <time>2019-02-18T08:59:31Z</time>
+   </trkpt>
+   <trkpt lat="52.6724000" lon="-8.5747340">
+    <ele>11.3</ele>
+    <time>2019-02-18T08:59:32Z</time>
+   </trkpt>
+   <trkpt lat="52.6724270" lon="-8.5746220">
+    <ele>11.4</ele>
+    <time>2019-02-18T08:59:33Z</time>
+   </trkpt>
+   <trkpt lat="52.6724480" lon="-8.5745080">
+    <ele>11.4</ele>
+    <time>2019-02-18T08:59:34Z</time>
+   </trkpt>
+   <trkpt lat="52.6724730" lon="-8.5744160">
+    <ele>11.4</ele>
+    <time>2019-02-18T08:59:35Z</time>
+   </trkpt>
+   <trkpt lat="52.6724960" lon="-8.5743290">
+    <ele>11.4</ele>
+    <time>2019-02-18T08:59:36Z</time>
+   </trkpt>
+   <trkpt lat="52.6725230" lon="-8.5742390">
+    <ele>11.4</ele>
+    <time>2019-02-18T08:59:37Z</time>
+   </trkpt>
+   <trkpt lat="52.6725550" lon="-8.5741450">
+    <ele>11.5</ele>
+    <time>2019-02-18T08:59:38Z</time>
+   </trkpt>
+   <trkpt lat="52.6725710" lon="-8.5740540">
+    <ele>11.5</ele>
+    <time>2019-02-18T08:59:39Z</time>
+   </trkpt>
+   <trkpt lat="52.6725850" lon="-8.5739750">
+    <ele>11.6</ele>
+    <time>2019-02-18T08:59:40Z</time>
+   </trkpt>
+   <trkpt lat="52.6725880" lon="-8.5739020">
+    <ele>11.6</ele>
+    <time>2019-02-18T08:59:41Z</time>
+   </trkpt>
+   <trkpt lat="52.6726050" lon="-8.5738430">
+    <ele>11.7</ele>
+    <time>2019-02-18T08:59:42Z</time>
+   </trkpt>
+   <trkpt lat="52.6726120" lon="-8.5737930">
+    <ele>11.7</ele>
+    <time>2019-02-18T08:59:43Z</time>
+   </trkpt>
+   <trkpt lat="52.6726090" lon="-8.5737460">
+    <ele>11.7</ele>
+    <time>2019-02-18T08:59:44Z</time>
+   </trkpt>
+   <trkpt lat="52.6726290" lon="-8.5736630">
+    <ele>11.7</ele>
+    <time>2019-02-18T08:59:46Z</time>
+   </trkpt>
+   <trkpt lat="52.6726500" lon="-8.5736020">
+    <ele>11.8</ele>
+    <time>2019-02-18T08:59:48Z</time>
+   </trkpt>
+   <trkpt lat="52.6726420" lon="-8.5735410">
+    <ele>11.8</ele>
+    <time>2019-02-18T08:59:50Z</time>
+   </trkpt>
+   <trkpt lat="52.6726330" lon="-8.5734950">
+    <ele>11.8</ele>
+    <time>2019-02-18T08:59:55Z</time>
+   </trkpt>
+   <trkpt lat="52.6726290" lon="-8.5734500">
+    <ele>11.8</ele>
+    <time>2019-02-18T08:59:58Z</time>
+   </trkpt>
+   <trkpt lat="52.6726270" lon="-8.5733540">
+    <ele>11.9</ele>
+    <time>2019-02-18T09:00:00Z</time>
+   </trkpt>
+   <trkpt lat="52.6726260" lon="-8.5732980">
+    <ele>12.0</ele>
+    <time>2019-02-18T09:00:01Z</time>
+   </trkpt>
+   <trkpt lat="52.6726270" lon="-8.5732360">
+    <ele>12.1</ele>
+    <time>2019-02-18T09:00:02Z</time>
+   </trkpt>
+   <trkpt lat="52.6726210" lon="-8.5731140">
+    <ele>12.2</ele>
+    <time>2019-02-18T09:00:03Z</time>
+   </trkpt>
+   <trkpt lat="52.6726150" lon="-8.5730130">
+    <ele>12.4</ele>
+    <time>2019-02-18T09:00:04Z</time>
+   </trkpt>
+   <trkpt lat="52.6726020" lon="-8.5729120">
+    <ele>12.6</ele>
+    <time>2019-02-18T09:00:05Z</time>
+   </trkpt>
+   <trkpt lat="52.6726060" lon="-8.5728180">
+    <ele>12.8</ele>
+    <time>2019-02-18T09:00:06Z</time>
+   </trkpt>
+   <trkpt lat="52.6726150" lon="-8.5726750">
+    <ele>13.0</ele>
+    <time>2019-02-18T09:00:08Z</time>
+   </trkpt>
+   <trkpt lat="52.6726180" lon="-8.5725560">
+    <ele>13.2</ele>
+    <time>2019-02-18T09:00:09Z</time>
+   </trkpt>
+   <trkpt lat="52.6726220" lon="-8.5724240">
+    <ele>13.4</ele>
+    <time>2019-02-18T09:00:10Z</time>
+   </trkpt>
+   <trkpt lat="52.6726270" lon="-8.5722990">
+    <ele>13.6</ele>
+    <time>2019-02-18T09:00:11Z</time>
+   </trkpt>
+   <trkpt lat="52.6726350" lon="-8.5721560">
+    <ele>13.9</ele>
+    <time>2019-02-18T09:00:12Z</time>
+   </trkpt>
+   <trkpt lat="52.6726390" lon="-8.5720360">
+    <ele>14.2</ele>
+    <time>2019-02-18T09:00:13Z</time>
+   </trkpt>
+   <trkpt lat="52.6726430" lon="-8.5719040">
+    <ele>14.5</ele>
+    <time>2019-02-18T09:00:14Z</time>
+   </trkpt>
+   <trkpt lat="52.6726470" lon="-8.5717730">
+    <ele>15.1</ele>
+    <time>2019-02-18T09:00:15Z</time>
+   </trkpt>
+   <trkpt lat="52.6726620" lon="-8.5716490">
+    <ele>15.2</ele>
+    <time>2019-02-18T09:00:16Z</time>
+   </trkpt>
+   <trkpt lat="52.6726720" lon="-8.5715540">
+    <ele>15.4</ele>
+    <time>2019-02-18T09:00:17Z</time>
+   </trkpt>
+   <trkpt lat="52.6726810" lon="-8.5714440">
+    <ele>15.6</ele>
+    <time>2019-02-18T09:00:18Z</time>
+   </trkpt>
+   <trkpt lat="52.6726940" lon="-8.5713190">
+    <ele>15.8</ele>
+    <time>2019-02-18T09:00:19Z</time>
+   </trkpt>
+   <trkpt lat="52.6727090" lon="-8.5712130">
+    <ele>15.9</ele>
+    <time>2019-02-18T09:00:20Z</time>
+   </trkpt>
+   <trkpt lat="52.6727310" lon="-8.5711260">
+    <ele>16.1</ele>
+    <time>2019-02-18T09:00:21Z</time>
+   </trkpt>
+   <trkpt lat="52.6727540" lon="-8.5710600">
+    <ele>16.2</ele>
+    <time>2019-02-18T09:00:22Z</time>
+   </trkpt>
+   <trkpt lat="52.6727720" lon="-8.5709790">
+    <ele>16.3</ele>
+    <time>2019-02-18T09:00:23Z</time>
+   </trkpt>
+   <trkpt lat="52.6727710" lon="-8.5708910">
+    <ele>16.3</ele>
+    <time>2019-02-18T09:00:24Z</time>
+   </trkpt>
+   <trkpt lat="52.6727720" lon="-8.5708160">
+    <ele>16.4</ele>
+    <time>2019-02-18T09:00:25Z</time>
+   </trkpt>
+   <trkpt lat="52.6727770" lon="-8.5707410">
+    <ele>16.5</ele>
+    <time>2019-02-18T09:00:26Z</time>
+   </trkpt>
+  </trkseg>
+ </trk>
+</gpx>
diff --git a/tutorials/data/304.README b/tutorials/data/304.README
new file mode 100644
index 00000000..211e0970
--- /dev/null
+++ b/tutorials/data/304.README
@@ -0,0 +1,9 @@
+304 to UL 2019-02-18 0745.gpx
+Description: Timestamped GNSS data for a bus journey on the 304 in Limerick, Ireland.
+Source: Data collected by B.A. MacGabhann (https://github.com/bamacgabhann/).
+Usage restrictions: None.
+
+stops_304_to_ul.gpkg
+Description: Locations of bus stops on the 304 bus route (accurate in 2019).
+Source: Modified from open data published by the NTA (Ireland) via GTFS-R (https://developer.nationaltransport.ie/).
+Usage restrictions: None
diff --git a/tutorials/data/stops_304_to_ul.gpkg b/tutorials/data/stops_304_to_ul.gpkg
new file mode 100644
index 00000000..481e0876
Binary files /dev/null and b/tutorials/data/stops_304_to_ul.gpkg differ


Test patch:
diff --git a/movingpandas/tests/test_trajectory.py b/movingpandas/tests/test_trajectory.py
index 4de23c9d..956cbdef 100644
--- a/movingpandas/tests/test_trajectory.py
+++ b/movingpandas/tests/test_trajectory.py
@@ -392,11 +392,21 @@ def test_add_speed(self):
         traj.add_speed()
         assert traj.df[SPEED_COL_NAME].tolist() == [6.0, 6.0]
 
+    def test_add_speed_with_units(self):
+        traj = make_traj([Node(0, 0), Node(6, 0, second=1)])
+        traj.add_speed(units=("km", "h"))
+        assert traj.df[SPEED_COL_NAME].tolist() == [21.6, 21.6]
+
     def test_add_speed_without_crs(self):
         traj = make_traj([Node(0, 0), Node(6, 0, second=1)], crs=None)
         traj.add_speed()
         assert traj.df[SPEED_COL_NAME].tolist() == [6.0, 6.0]
 
+    def test_add_speed_with_units_without_crs(self):
+        traj = make_traj([Node(0, 0), Node(6, 0, second=1)], crs=None)
+        traj.add_speed(units=("nm", "min"))
+        assert traj.df[SPEED_COL_NAME].tolist()[0] * 100 == pytest.approx(19, abs=1)
+
     def test_add_speed_can_overwrite(self):
         traj = make_traj([Node(0, 0), Node(6, 0, second=1)])
         traj.add_speed()
@@ -414,6 +424,16 @@ def test_add_speed_with_name(self):
         traj.add_speed(name="speed2")
         assert "speed2" in traj.df.columns
 
+    def test_add_speed_with_only_distance_units_and_name(self):
+        traj = make_traj([Node(0, 0), Node(6, 0, second=1)])
+        traj.add_speed(name="links/s", units="link")
+        assert traj.df["links/s"].tolist()[0] == pytest.approx(29.8, abs=1)
+
+    def test_add_speed_with_extra_units(self):
+        traj = make_traj([Node(0, 0), Node(6, 0, second=1)])
+        traj.add_speed(name="survey mph", units=("survey_mi", "h", "s"))
+        assert traj.df["survey mph"].tolist()[0] == pytest.approx(13.4, abs=1)
+
     def test_add_speed_doesnt_change_existing_speed(self):
         traj = self.default_traj_metric_5.copy()
         traj.df[SPEED_COL_NAME] = [1, 2, 3, 4, 5]
@@ -430,7 +450,12 @@ def test_add_speed_only_adds_speed_column_and_doesnt_otherwise_alter_df(self):
     def test_add_speed_latlon(self):
         traj = make_traj([Node(0, 1), Node(6, 0, second=1)], CRS_LATLON)
         traj.add_speed()
-        assert traj.df[SPEED_COL_NAME].tolist()[0] / 1000 == pytest.approx(676.3, 1)
+        assert traj.df[SPEED_COL_NAME].tolist()[0] / 1000 == pytest.approx(676.3, abs=1)
+
+    def test_add_speed_with_units_latlon(self):
+        traj = make_traj([Node(0, 1), Node(6, 0, second=1)], CRS_LATLON)
+        traj.add_speed(units=("mi", "h"))
+        assert traj.df[SPEED_COL_NAME].tolist()[0] / 1000 == pytest.approx(1514, abs=1)
 
     def test_add_speed_latlon_numerical_issues(self):
         from shapely.geometry import Polygon
@@ -452,6 +477,21 @@ def test_add_acceleration(self):
         traj.add_acceleration()
         assert traj.df[ACCELERATION_COL_NAME].tolist() == [0.0, 0.0, 6.0]
 
+    def test_add_acceleration_with_distance_units(self):
+        traj = make_traj([Node(0, 0), Node(6, 0, second=1), Node(18, 0, second=2)])
+        traj.add_acceleration(units="km")
+        assert traj.df[ACCELERATION_COL_NAME].tolist() == [0.0, 0.0, 0.006]
+
+    def test_add_acceleration_with_distance_and_time_units(self):
+        traj = make_traj([Node(0, 0), Node(6, 0, second=1), Node(18, 0, second=2)])
+        traj.add_acceleration(units=("km", "h"))
+        assert traj.df[ACCELERATION_COL_NAME].tolist() == [0.0, 0.0, 21.6]
+
+    def test_add_acceleration_with_distance_and_both_time_units(self):
+        traj = make_traj([Node(0, 0), Node(6, 0, second=1), Node(18, 0, second=2)])
+        traj.add_acceleration(units=("km", "h", "min"))
+        assert traj.df[ACCELERATION_COL_NAME].tolist() == [0.0, 0.0, 1296.0]
+
     def test_add_acceleration_without_crs(self):
         traj = make_traj(
             [Node(0, 0), Node(6, 0, second=1), Node(18, 0, second=2)], crs=None
@@ -459,6 +499,49 @@ def test_add_acceleration_without_crs(self):
         traj.add_acceleration()
         assert traj.df[ACCELERATION_COL_NAME].tolist() == [0.0, 0.0, 6.0]
 
+    def test_add_acceleration_with_distance_units_with_name_no_crs(self):
+        traj = make_traj(
+            [Node(0, 0), Node(6, 0, second=1), Node(18, 0, second=2)], crs=None
+        )
+        traj.add_acceleration(name="km/s2", units="km")
+        assert traj.df["km/s2"].tolist() == [0.0, 0.0, 0.006]
+
+    def test_add_acceleration_with_distance_and_time_units_with_name_no_crs(self):
+        traj = make_traj(
+            [Node(0, 0), Node(6, 0, second=1), Node(18, 0, second=2)], crs=None
+        )
+        traj.add_acceleration(name="kph/s", units=("km", "h"))
+        assert traj.df["kph/s"].tolist() == [0.0, 0.0, 21.6]
+
+    def test_add_acceleration_with_distance_and_both_time_units_with_name_no_crs(self):
+        traj = make_traj(
+            [Node(0, 0), Node(6, 0, second=1), Node(18, 0, second=2)], crs=None
+        )
+        traj.add_acceleration(name="km/h/min", units=("km", "h", "min"))
+        assert traj.df["km/h/min"].tolist() == [0.0, 0.0, 1296.0]
+
+    def test_add_acceleration_with_distance_and_both_time_units_latlon(self):
+        traj = make_traj(
+            [Node(0, 0), Node(6, 0, second=1), Node(18, 0, second=2)], CRS_LATLON
+        )
+        traj.add_acceleration(units=("km", "h", "min"))
+        assert traj.df[ACCELERATION_COL_NAME].tolist()[2] == pytest.approx(144270060, 1)
+
+    def test_add_acceleration_with_wrong_distance_units_raises_error(self):
+        traj = make_traj([Node(0, 0), Node(6, 0, second=1), Node(18, 0, second=2)])
+        with pytest.raises(ValueError):
+            traj.add_acceleration(units=("ie", "h", "s"))
+
+    def test_add_acceleration_with_wrong_time_units_raises_error(self):
+        traj = make_traj([Node(0, 0), Node(6, 0, second=1), Node(18, 0, second=2)])
+        with pytest.raises(ValueError):
+            traj.add_acceleration(units=("km", "month", "s"))
+
+    def test_add_acceleration_with_wrong_time2_units_raises_error(self):
+        traj = make_traj([Node(0, 0), Node(6, 0, second=1), Node(18, 0, second=2)])
+        with pytest.raises(ValueError):
+            traj.add_acceleration(units=("km", "h", "century"))
+
     def test_add_acceleration_can_overwrite(self):
         traj = make_traj([Node(0, 0), Node(6, 0, second=1), Node(18, 0, second=2)])
         traj.add_acceleration()
@@ -503,11 +586,28 @@ def test_add_distance(self):
         traj.add_distance()
         assert traj.df[DISTANCE_COL_NAME].tolist() == [0, 6.0]
 
+    def test_add_distance_with_units(self):
+        traj = make_traj([Node(0, 0), Node(6, 0, second=1)])
+        traj.add_distance(units="chain")
+        assert traj.df[DISTANCE_COL_NAME].tolist()[1] == pytest.approx(0.29, abs=0.01)
+
+    def test_add_distance_with_extra_units(self):
+        traj = make_traj([Node(0, 0), Node(6, 0, second=1)])
+        traj.add_distance(units=("survey_ft", "a", "min"))
+        assert traj.df[DISTANCE_COL_NAME].tolist()[1] == pytest.approx(19.6, abs=0.1)
+
     def test_add_distance_without_crs(self):
         traj = make_traj([Node(0, 0), Node(6, 0, second=1)], crs=None)
         traj.add_distance()
         assert traj.df[DISTANCE_COL_NAME].tolist() == [0, 6.0]
 
+    def test_add_distance_without_crs_with_units(self):
+        traj = make_traj([Node(0, 0), Node(6, 0, second=1)], crs=None)
+        traj.add_distance(units="mi")
+        assert traj.df[DISTANCE_COL_NAME].tolist()[1] == pytest.approx(
+            0.0037, abs=0.0001
+        )
+
     def test_add_distance_can_overwrite(self):
         traj = make_traj([Node(0, 0), Node(6, 0, second=1)])
         traj.add_distance()
@@ -525,6 +625,12 @@ def test_add_distance_with_name(self):
         traj.add_distance(name="distance2")
         assert "distance2" in traj.df.columns
 
+    def test_add_second_distance_with_name_and_units(self):
+        traj = make_traj([Node(0, 0), Node(6, 0, second=1)])
+        traj.add_distance()
+        traj.add_distance(name="distance (US Yards)", units="survey_yd")
+        assert traj.df["distance (US Yards)"].tolist()[1] == pytest.approx(6.5, abs=0.1)
+
     def test_add_distance_doesnt_change_existing_distance(self):
         traj = self.default_traj_metric_5.copy()
         traj.df["distance"] = [1, 2, 3, 4, 5]
@@ -540,7 +646,24 @@ def test_add_distance_only_adds_distance_column_and_doesnt_otherwise_alter_df(se
     def test_add_distance_latlon(self):
         traj = make_traj([Node(0, 1), Node(6, 0, second=1)], CRS_LATLON)
         traj.add_distance()
-        assert traj.df[DISTANCE_COL_NAME].tolist()[1] / 1000 == pytest.approx(676.3, 1)
+        assert traj.df[DISTANCE_COL_NAME].tolist()[1] / 1000 == pytest.approx(
+            676.3, abs=1
+        )
+
+    def test_add_distance_latlon_with_units(self):
+        traj = make_traj([Node(0, 1), Node(6, 0, second=1)], CRS_LATLON)
+        traj.add_distance(units="nm")
+        assert traj.df[DISTANCE_COL_NAME].tolist()[1] == pytest.approx(365, abs=1)
+
+    def test_add_distance_latlon_with_wrong_units_raises_error(self):
+        traj = make_traj([Node(0, 1), Node(6, 0, second=1)], CRS_LATLON)
+        with pytest.raises(ValueError):
+            traj.add_distance(units="fish")
+
+    def test_add_distance_latlon_with_wrong_time_units_raises_error(self):
+        traj = make_traj([Node(0, 1), Node(6, 0, second=1)], CRS_LATLON)
+        with pytest.raises(ValueError):
+            traj.add_distance(units=("chain", "fish"))
 
     def test_add_distance_latlon_numerical_issues(self):
         from shapely.geometry import Polygon