libcuspatial/nightly/trajectory_8hpp_source.html

/*

 * Copyright (c) 2020-2022, NVIDIA CORPORATION.

 *

 * Licensed under the Apache License, Version 2.0 (the "License");

 * you may not use this file except in compliance with the License.

 * You may obtain a copy of the License at

 *

 *     http://www.apache.org/licenses/LICENSE-2.0

 *

 * Unless required by applicable law or agreed to in writing, software

 * distributed under the License is distributed on an "AS IS" BASIS,

 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.

 * See the License for the specific language governing permissions and

 * limitations under the License.

 */


#pragma once


#include <cudf/column/column.hpp>

#include <cudf/column/column_view.hpp>

#include <cudf/table/table.hpp>

#include <cudf/types.hpp>


#include <rmm/mr/device/per_device_resource.hpp>


#include <memory>


namespace cuspatial {


std::pair<std::unique_ptr<cudf::table>, std::unique_ptr<cudf::column>> derive_trajectories(

  cudf::column_view const& object_id,

  cudf::column_view const& x,

  cudf::column_view const& y,

  cudf::column_view const& timestamp,

  rmm::mr::device_memory_resource* mr = rmm::mr::get_current_device_resource());


std::unique_ptr<cudf::table> trajectory_distances_and_speeds(

  cudf::size_type num_trajectories,

  cudf::column_view const& object_id,

  cudf::column_view const& x,

  cudf::column_view const& y,

  cudf::column_view const& timestamp,

  rmm::mr::device_memory_resource* mr = rmm::mr::get_current_device_resource());


std::unique_ptr<cudf::table> trajectory_bounding_boxes(

  cudf::size_type num_trajectories,

  cudf::column_view const& object_id,

  cudf::column_view const& x,

  cudf::column_view const& y,

  rmm::mr::device_memory_resource* mr = rmm::mr::get_current_device_resource());


}  // namespace cuspatial

cuspatial::derive_trajectories
std::unique_ptr< rmm::device_uvector< OffsetType > > derive_trajectories(IdInputIt ids_first, IdInputIt ids_last, PointInputIt points_first, TimestampInputIt timestamps_first, IdOutputIt ids_output_first, PointOutputIt points_output_first, TimestampOutputIt timestamps_output_first, rmm::cuda_stream_view stream=rmm::cuda_stream_default, rmm::mr::device_memory_resource *mr=rmm::mr::get_current_device_resource())
Derive trajectories from object ids, points, and timestamps.

cuspatial::trajectory_distances_and_speeds
OutputIt trajectory_distances_and_speeds(IndexT num_trajectories, IdInputIt ids_first, IdInputIt ids_last, PointInputIt points_first, TimestampInputIt timestamps_first, OutputIt distances_and_speeds_first, rmm::cuda_stream_view stream=rmm::cuda_stream_default)
Compute the total distance (in meters) and average speed (in m/s) of objects in trajectories.

cuspatial::trajectory_bounding_boxes
std::unique_ptr< cudf::table > trajectory_bounding_boxes(cudf::size_type num_trajectories, cudf::column_view const &object_id, cudf::column_view const &x, cudf::column_view const &y, rmm::mr::device_memory_resource *mr=rmm::mr::get_current_device_resource())
Compute the spatial bounding boxes of trajectories. Groups the x, y, and timestamp columns by object ...