Data preparation - Revision history

Rudolf@tygron.nl at 11:19, 2 November 2022

2022-11-02T11:19:37Z

← Older revision		Revision as of 11:19, 2 November 2022
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	===Why prepare data?===		===Why prepare data?===
	Preparing data is useful when you have datasets you often use in {{software}} projects. For example, the Province of Utrecht has created the [[~~MKP_~~(Indicators)\|MKP template]] in the {{software}}. This module consists of [[Indicators\|indicators]] and [[Panels\|panels]] concerning different environmental topics. For their indicators and panels to work, they need to import multiple datasets into every new project they use the template. For such use cases, it can save a lot of time if you prepare these datasets once and then easily import them into every new project. Read below for some considerations on various topics and apply the ones useful for you. When spoken about data on this page, [[Geo_Data#What_is_Geo_data\| vector data]] is meant.		Preparing data is useful when you have datasets you often use in {{software}} projects. For example, the Province of Utrecht has created the [[MKP (Indicators)\|MKP template]] in the {{software}}. This module consists of [[Indicators\|indicators]] and [[Panels\|panels]] concerning different environmental topics. For their indicators and panels to work, they need to import multiple datasets into every new project they use the template. For such use cases, it can save a lot of time if you prepare these datasets once and then easily import them into every new project. Read below for some considerations on various topics and apply the ones useful for you. When spoken about data on this page, [[Geo_Data#What_is_Geo_data\| vector data]] is meant.

	===Attributes===		===Attributes===
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	If you would like to make use of these text attributes, do a mapping from text to numbers before importing the data.		If you would like to make use of these text attributes, do a mapping from text to numbers before importing the data.

	Consider the following example: you have a dataset with the suitability of buildings for solar panels. The suitability is described in a text attribute with values such as: suitable, not suitable, very suitable etc. We would like to create an indicator in ~~hte~~ {{software}} that calculates some statistics about this dataset per neighborhood. We therefore need to import this suitability attribute as a numerical value into the {{software}}.		Consider the following example: you have a dataset with the suitability of buildings for solar panels. The suitability is described in a text attribute with values such as: suitable, not suitable, very suitable etc. We would like to create an indicator in the {{software}} that calculates some statistics about this dataset per neighborhood. We therefore need to import this suitability attribute as a numerical value into the {{software}}.
	See below for the steps:		See below for the steps:

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	===Data publishing===		===Data publishing===
	If possible, the best way to publish data for use in the {{software}} is as a [[WFS]]. A [[WFS]] is desirable, because you only have to provide an URL in the [[Geo_Data_Wizard\|Geo data wizard]] to import the data from. This URL can be saved in a [[~~Project_Template\|~~Template project]] and makes it easier for users to import the data, since they only have to select the right URL in the [[Geo_Data_Wizard\|Geo data wizard]] and import the datasets they want to use.		If possible, the best way to publish data for use in the {{software}} is as a [[WFS]]. A [[WFS]] is desirable, because you only have to provide an URL in the [[Geo_Data_Wizard\|Geo data wizard]] to import the data from. This URL can be saved in a [[Template project]] and makes it easier for users to import the data, since they only have to select the right URL in the [[Geo_Data_Wizard\|Geo data wizard]] and import the datasets they want to use.
	In a WFS, the data provider can publish multiple datasets which are already prepared to use in the {{software}}.		In a WFS, the data provider can publish multiple datasets which are already prepared to use in the {{software}}.

Maxim@tygron.com at 11:33, 7 October 2022

2022-10-07T11:33:44Z

← Older revision		Revision as of 11:33, 7 October 2022
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	~~{{learned\|why to prepare data\|some data preparation tips}}~~

	===Why prepare data?===		===Why prepare data?===
	Preparing data is useful when you have datasets you often use in {{software}} projects. For example, the Province of Utrecht has created the [[MKP_(Indicators)\|MKP template]] in the {{software}}. This module consists of [[Indicators\|indicators]] and [[Panels\|panels]] concerning different environmental topics. For their indicators and panels to work, they need to import multiple datasets into every new project they use the template. For such use cases, it can save a lot of time if you prepare these datasets once and then easily import them into every new project. Read below for some considerations on various topics and apply the ones useful for you. When spoken about data on this page, [[Geo_Data#What_is_Geo_data\| vector data]] is meant.		Preparing data is useful when you have datasets you often use in {{software}} projects. For example, the Province of Utrecht has created the [[MKP_(Indicators)\|MKP template]] in the {{software}}. This module consists of [[Indicators\|indicators]] and [[Panels\|panels]] concerning different environmental topics. For their indicators and panels to work, they need to import multiple datasets into every new project they use the template. For such use cases, it can save a lot of time if you prepare these datasets once and then easily import them into every new project. Read below for some considerations on various topics and apply the ones useful for you. When spoken about data on this page, [[Geo_Data#What_is_Geo_data\| vector data]] is meant.

Godelief@tygron.com: /* Data representation */

2020-04-24T09:14:26Z

Data representation

← Older revision		Revision as of 09:14, 24 April 2020
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	===Data representation===		===Data representation===
	Vector geo data can consists of point, line and polygon features. In the {{software}} only polygons can be imported. Therefore, take into consideration to already convert point and lines to polygons.		Vector geo data can consists of point, line and polygon features. In the {{software}} only polygons can be imported. Therefore, take into consideration to already convert point and lines to polygons.
	In step 2 of the [[~~Geo_Data_wizard~~\|geo data wizard]], there is also the option to buffer the features by chosing a buffer distance. However, for consistency and ease of use it is much easier to already have the data buffered.		In step 2 of the [[Geo_Data_Wizard\|geo data wizard]], there is also the option to buffer the features by chosing a buffer distance. However, for consistency and ease of use it is much easier to already have the data buffered.

Godelief@tygron.com: /* Why preparing data? */

2020-04-24T09:03:01Z

Why preparing data?

← Older revision		Revision as of 09:03, 24 April 2020
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	{{learned\|why to prepare data\|some data preparation tips}}		{{learned\|why to prepare data\|some data preparation tips}}

	===Why ~~preparing~~ data?===		===Why prepare data?===
	Preparing data is useful when you have datasets you often use in {{software}} projects. For example, the Province of Utrecht has created the [[MKP_(Indicators)\|MKP template]] in the {{software}}. This module consists of [[Indicators\|indicators]] and [[Panels\|panels]] concerning different environmental topics. For their indicators and panels to work, they need to import multiple datasets into every new project they use the template. For such use cases, it can save a lot of time if you prepare these datasets once and then easily import them into every new project. Read below for some considerations on various topics and apply the ones useful for you. When spoken about data on this page, [[Geo_Data#What_is_Geo_data\| vector data]] is meant.		Preparing data is useful when you have datasets you often use in {{software}} projects. For example, the Province of Utrecht has created the [[MKP_(Indicators)\|MKP template]] in the {{software}}. This module consists of [[Indicators\|indicators]] and [[Panels\|panels]] concerning different environmental topics. For their indicators and panels to work, they need to import multiple datasets into every new project they use the template. For such use cases, it can save a lot of time if you prepare these datasets once and then easily import them into every new project. Read below for some considerations on various topics and apply the ones useful for you. When spoken about data on this page, [[Geo_Data#What_is_Geo_data\| vector data]] is meant.

Godelief@tygron.nl at 12:41, 11 October 2019

2019-10-11T12:41:09Z

← Older revision		Revision as of 12:41, 11 October 2019
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	{{learned\|why to prepare data\|some data preparation ~~examples~~}}		{{learned\|why to prepare data\|some data preparation tips}}

	===Why preparing data?===		===Why preparing data?===
	Preparing data is useful when you have datasets ~~available which~~ you ~~always want to~~ use in ~~your~~ {{software}} projects. For example, the Province of Utrecht has created the [[MKP_(Indicators)\|MKP template]] in the {{software}}. This module consists of [[Indicators\|indicators]] and [[Panels\|panels]] concerning different environmental topics. For their indicators and panels to work, they need to import into every new project they use the template ~~on, multiple datasets~~. For such use cases, it can save a lot of time if you prepare these datasets once and then easily import them into every new project. Read below for some considerations on various topics and apply the ones useful for you. When spoken about data on this page, [[Geo_Data#What_is_Geo_data\| vector data]] is meant.		Preparing data is useful when you have datasets you often use in {{software}} projects. For example, the Province of Utrecht has created the [[MKP_(Indicators)\|MKP template]] in the {{software}}. This module consists of [[Indicators\|indicators]] and [[Panels\|panels]] concerning different environmental topics. For their indicators and panels to work, they need to import multiple datasets into every new project they use the template. For such use cases, it can save a lot of time if you prepare these datasets once and then easily import them into every new project. Read below for some considerations on various topics and apply the ones useful for you. When spoken about data on this page, [[Geo_Data#What_is_Geo_data\| vector data]] is meant.

	===Attributes===		===Attributes===

Godelief@tygron.nl at 09:14, 26 August 2019

2019-08-26T09:14:48Z

← Older revision		Revision as of 09:14, 26 August 2019
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	{{learned\|why to prepare data\|~~why t~~}}		{{learned\|why to prepare data\|some data preparation examples}}

	===Why preparing data?===		===Why preparing data?===

Godelief@tygron.nl at 09:14, 26 August 2019

2019-08-26T09:14:34Z

← Older revision		Revision as of 09:14, 26 August 2019
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	{{learned\|why to prepare data\|~~data preparation examples~~}}		{{learned\|why to prepare data\|why t}}

	===Why preparing data?===		===Why preparing data?===

Godelief@tygron.nl at 09:14, 26 August 2019

2019-08-26T09:14:09Z

← Older revision		Revision as of 09:14, 26 August 2019
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	{{~~being_updated~~}}		{{learned\|why to prepare data\|data preparation examples}}

	===Why preparing data?===		===Why preparing data?===

Godelief@tygron.nl: /* Data representation */

2019-08-26T09:08:31Z

Data representation

← Older revision		Revision as of 09:08, 26 August 2019
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	===Data representation===		===Data representation===
	Vector ~~Geodata~~ can consists of point, line and polygon features. In the {{software}} only polygons can be imported. Therefore, take into consideration to already convert point and lines to polygons.		Vector geo data can consists of point, line and polygon features. In the {{software}} only polygons can be imported. Therefore, take into consideration to already convert point and lines to polygons.
	In step 2 of the [[Geo_Data_wizard\|geo data wizard]], there is also the option to buffer the features by chosing a buffer distance. However, for consistency and ease of use it is much easier to already have the data buffered.		In step 2 of the [[Geo_Data_wizard\|geo data wizard]], there is also the option to buffer the features by chosing a buffer distance. However, for consistency and ease of use it is much easier to already have the data buffered.

Godelief@tygron.nl: /* Data publishing */

2019-08-26T09:05:13Z

Data publishing

← Older revision		Revision as of 09:05, 26 August 2019
Line 87:		Line 87:
	In a WFS, the data provider can publish multiple datasets which are already prepared to use in the {{software}}.		In a WFS, the data provider can publish multiple datasets which are already prepared to use in the {{software}}.

	If a WFS is not achievable or possible, then consider a shared folder where users of your organization which use the {{software}} have access to. In the folder, the different prepared datasets, in [[GeoJSON]] format can be ~~saved~~.		If a WFS is not achievable or possible, then consider a shared folder where users of your organization which use the {{software}} have access to. In the folder, the different prepared datasets, in [[GeoJSON]] format can be stored.

	===Data representation===		===Data representation===
	Vector Geodata can consists of point, line and polygon features. In the {{software}} only polygons can be imported. Therefore, take into consideration to already convert point and lines to polygons.		Vector Geodata can consists of point, line and polygon features. In the {{software}} only polygons can be imported. Therefore, take into consideration to already convert point and lines to polygons.
	In step 2 of the [[Geo_Data_wizard\|geo data wizard]], there is also the option to buffer the features by chosing a buffer distance. However, for consistency and ease of use it is much easier to already have the data buffered.		In step 2 of the [[Geo_Data_wizard\|geo data wizard]], there is also the option to buffer the features by chosing a buffer distance. However, for consistency and ease of use it is much easier to already have the data buffered.