Sorry for the blank message..

Here is my answer:

2011/3/9 Georg Ruß <research@georgruss.de>

> On 09/03/11 10:40:00, Mathieu Rajerison wrote:
> > I've got a dataset of points that covers a city
>
> Okay, is that a spatial points data frame?
>

yes, it is


> > Each point takes 4 values corresponding to area of land usage. The first
> one
> > is for ground, the second is built, the third is wood, the fourth water.
>
> Here it looks like each point in the spatialpoints data frame has a vector
> with four entries. Are those binary entries? I.e., if it's a point for
> 'ground', is the vector c(1,0,0,0) since the other entries must be zero?
> Or is the vector just having one entry, coding one of the four values for
> "ground", "built", "wood", "water"?
>

they are not binary entries. there are four columns, each of Float type.

Here are the possible values the first point could  take:
point[1,"wood"]=23.1
point[1,"water"]=0
point[1,"ground"]=20
point[1,"built"]=100


> > I'd like to seggregate components corresponding to each of land usage:
> > ground / built / wood / water.
>
> I guess once we get the problem and the data structure sorted out, it
> shouldn't be one hell of a problem.
>
> > There may be several components for each category. For example, 2 for
> > ground, 3 for water and this might be ajusted by the user.
>
> Hmm, here you're talking about categories, which you didn't mention
> before. Please clarify, maybe give us a hint on the data structure.
>

I could have talked about groups instead of categories.

My points could be divided in 4 groups, 4 components, 4 subgraphs
1 for ground, 1 for water, 1 for wood, 1 for built

or a different number of groups for each category/land usage
i for ground, j for water, k for wood, l for built


I hope this will help and that I was enough clear



> What is the most appropriate function to accomplish that?
> I considered using spdep package with skater? Is it the most appropriate?

I wouldn't comment on that unless we've had the problem clarified. So
please help us. If you have, post reproducible code fragments.

Regards,
Georg.
--
Research Assistant
Otto-von-Guericke-Universität Magdeburg
research@georgruss.de
http://research.georgruss.de

2011/3/9 Mathieu Rajerison <mathieu.rajerison@gmail.com>

> 2011/3/9 Georg Ruß <research@georgruss.de>
>
>> On 09/03/11 10:40:00, Mathieu Rajerison wrote:
>> > I've got a dataset of points that covers a city
>>
>> Okay, is that a spatial points data frame?
>>
>
> yes, it is
>
>
>> > Each point takes 4 values corresponding to area of land usage. The first
>> one
>> > is for ground, the second is built, the third is wood, the fourth water.
>>
>> Here it looks like each point in the spatialpoints data frame has a vector
>> with four entries. Are those binary entries? I.e., if it's a point for
>> 'ground', is the vector c(1,0,0,0) since the other entries must be zero?
>> Or is the vector just having one entry, coding one of the four values for
>> "ground", "built", "wood", "water"?
>>
>
> they are not binary entries. there are four columns, each of Float type.
>
> Here are the possible values the first point could  take:
> point[1,"wood"]=23.1
> point[1,"water"]=0
> point[1,"ground"]=20
> point[1,"built"]=100
>
>
>> > I'd like to seggregate components corresponding to each of land usage:
>> > ground / built / wood / water.
>>
>> I guess once we get the problem and the data structure sorted out, it
>> shouldn't be one hell of a problem.
>>
>> > There may be several components for each category. For example, 2 for
>> > ground, 3 for water and this might be ajusted by the user.
>>
>> Hmm, here you're talking about categories, which you didn't mention
>> before. Please clarify, maybe give us a hint on the data structure.
>>
>
> I could have talked about groups instead of categories.
>
> My points could be divided in 4 groups, 4 components, 4 subgraphs
> 1 for ground, 1 for water, 1 for wood, 1 for built
>
> or a different number of groups for each category/land usage
> i for ground, j for water, k for wood, l for built
>
>
> I hope this will help and that I was enough clear
>
>
>
> > What is the most appropriate function to accomplish that?
> > I considered using spdep package with skater? Is it the most appropriate?
>
> I wouldn't comment on that unless we've had the problem clarified. So
> please help us. If you have, post reproducible code fragments.
>
> Regards,
> Georg.
> --
> Research Assistant
> Otto-von-Guericke-Universität Magdeburg
> research@georgruss.de
> http://research.georgruss.de
>
> 2011/3/9 Mathieu Rajerison <mathieu.rajerison@gmail.com>
>
> 2011/3/9 Georg Ruß <research@georgruss.de>
>>
>>> On 09/03/11 10:40:00, Mathieu Rajerison wrote:
>>> > I've got a dataset of points that covers a city
>>>
>>> Okay, is that a spatial points data frame?
>>>
>>
>> yes, it is
>>
>>
>>> > Each point takes 4 values corresponding to area of land usage. The
>>> first one
>>> > is for ground, the second is built, the third is wood, the fourth
>>> water.
>>>
>>> Here it looks like each point in the spatialpoints data frame has a
>>> vector
>>> with four entries. Are those binary entries? I.e., if it's a point for
>>> 'ground', is the vector c(1,0,0,0) since the other entries must be zero?
>>> Or is the vector just having one entry, coding one of the four values for
>>> "ground", "built", "wood", "water"?
>>>
>>
>> they are not binary entries. there are four columns, each of Float type.
>>
>> Here are the possible values the first point could  take:
>> point[1,"wood"]=23.1
>> point[1,"water"]=0
>> point[1,"ground"]=20
>> point[1,"built"]=100
>>
>>
>>> > I'd like to seggregate components corresponding to each of land usage:
>>> > ground / built / wood / water.
>>>
>>> I guess once we get the problem and the data structure sorted out, it
>>> shouldn't be one hell of a problem.
>>>
>>> > There may be several components for each category. For example, 2 for
>>> > ground, 3 for water and this might be ajusted by the user.
>>>
>>> Hmm, here you're talking about categories, which you didn't mention
>>> before. Please clarify, maybe give us a hint on the data structure.
>>>
>>
>> I could have talked about groups instead of categories.
>>
>> My points could be divided in 4 groups, 4 components, 4 subgraphs
>> 1 for ground, 1 for water, 1 for wood, 1 for built
>>
>> or a different number of groups for each category/land usage
>> i for ground, j for water, k for wood, l for built
>>
>>
>> I hope this will help and that I was enough clear
>>
>>
>>
>>>
>>> > What is the most appropriate function to accomplish that?
>>> > I considered using spdep package with skater? Is it the most
>>> appropriate?
>>>
>>> I wouldn't comment on that unless we've had the problem clarified. So
>>> please help us. If you have, post reproducible code fragments.
>>>
>>> Regards,
>>> Georg.
>>> --
>>> Research Assistant
>>> Otto-von-Guericke-Universität Magdeburg
>>> research@georgruss.de
>>> http://research.georgruss.de
>>>
>>
>>
>

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