Detailed Description

Linear data resampling.

If a point is requested that is in between two input data points, the requested value is automatically calculated using a linear interpolation. Furthermore if the argument extrapolate is provided there will be an attempt made to extrapolate the point if the interpolation fails, by computing the line equation y = kx + d. It takes the following arguments:

MAX_GAP_SIZE: This represents how big a data gap can be and still be interpolated. This allows to overwrite the global MAX_GAP_SIZE (in ResamplingAlgorithms) for this parameter and resampling algorithm (optional);
EXTRAPOLATE: If set to TRUE, points outside of available measurements will be interpolated (otherwise, there need to be values before and after a missing point for it to be interpolated. Optional).

[Interpolations1D]
TA::resample            = linear
TA::linear::extrapolate = true

#include <LinearResampling.h>

Public Member Functions
	LinearResampling (const std::string &i_algoname, const std::string &i_parname, const double &dflt_max_gap_size, const std::vector< std::pair< std::string, std::string > > &vecArgs)

void	resample (const std::string &stationHash, const size_t &index, const ResamplingPosition &position, const size_t &paramindex, const std::vector< MeteoData > &vecM, MeteoData &md)

std::string	toString () const

Public Member Functions inherited from mio::ResamplingAlgorithms
	ResamplingAlgorithms (const std::string &i_algoname, const std::string &i_parname, const double &dflt_max_gap_size, const std::vector< std::pair< std::string, std::string > > &)

virtual	~ResamplingAlgorithms ()

const std::string	getAlgo () const

virtual void	resample (const std::string &stationHash, const size_t &index, const ResamplingPosition &position, const size_t &paramindex, const std::vector< MeteoData > &vecM, MeteoData &md)=0

void	resetResampling ()

virtual std::string	toString () const =0

Additional Inherited Members
Public Types inherited from mio::ResamplingAlgorithms
enum	ResamplingPosition { exact_match , before , after , begin , end }

Static Public Member Functions inherited from mio::ResamplingAlgorithms
static size_t	searchBackward (gap_info &last_gap, const size_t &pos, const size_t &paramindex, const std::vector< MeteoData > &vecM, const Date &resampling_date, const double &i_max_gap_size)

static size_t	searchForward (gap_info &last_gap, const size_t &pos, const size_t &paramindex, const std::vector< MeteoData > &vecM, const Date &resampling_date, const double &i_max_gap_size, const size_t &indexP1)

static gap_info	findGap (const size_t &pos, const size_t &paramindex, const std::vector< MeteoData > &vecM, const Date &resampling_date, const double &i_max_gap_size)

Protected Member Functions inherited from mio::ResamplingAlgorithms
void	getNearestValidPts (const std::string &stationHash, const size_t &pos, const size_t &paramindex, const std::vector< MeteoData > &vecM, const Date &resampling_date, const double &i_max_gap_size, size_t &indexP1, size_t &indexP2)
	This function returns the last and next valid points around a given position. More...

Static Protected Member Functions inherited from mio::ResamplingAlgorithms
static double	partialAccumulateAtLeft (const std::vector< MeteoData > &vecM, const size_t &paramindex, const size_t &pos, const Date &curr_date)

static double	partialAccumulateAtRight (const std::vector< MeteoData > &vecM, const size_t &paramindex, const size_t &pos, const Date &curr_date)

static double	linearInterpolation (const double &x1, const double &y1, const double &x2, const double &y2, const double &x3)
	This function solves the equation y = ax + b for two given points and returns y for a given x. More...

static Date	getDailyStart (const Date &resampling_date)
	For a given date, find the start of the day, considering that for midnight we return the day before! (as is necessary for daily averages, sums, etc that can be provided at midnight for the day before) More...

static size_t	getDailyValue (const std::vector< MeteoData > &vecM, const size_t &paramindex, size_t pos, const Date &intervalStart, const Date &intervalEnd)
	Find a unique value in a given time interval. This is useful for retrieving a unique daily average, daily sum, etc. More...

Protected Attributes inherited from mio::ResamplingAlgorithms
const std::string	algo

const std::string	parname

double	max_gap_size

Static Protected Attributes inherited from mio::ResamplingAlgorithms
static const double	soil_albedo = .23
	grass albedo More...

static const double	snow_albedo = .85
	snow albedo More...

static const double	snow_thresh = .1
	These thresholds are used to handle solar radiation. More...

Constructor & Destructor Documentation

◆ LinearResampling()

mio::LinearResampling::LinearResampling	(	const std::string &	i_algoname,
		const std::string &	i_parname,
		const double &	dflt_max_gap_size,
		const std::vector< std::pair< std::string, std::string > > &	vecArgs
	)

Member Function Documentation

◆ resample()

void mio::LinearResampling::resample	(	const std::string &	stationHash,
		const size_t &	index,
		const ResamplingPosition &	position,
		const size_t &	paramindex,
		const std::vector< MeteoData > &	vecM,
		MeteoData &	md
	)

virtual

Implements mio::ResamplingAlgorithms.

◆ toString()

std::string mio::LinearResampling::toString ( ) const