I'm not sure what you're referring to in your question, but I'm sending you an attempt to help. If you can be clearer in your question, I can help you better.

EVALUATION OF THE PEC

DIGITAL CARTOGRAPHY

The technological advances observed in

computing, more specifically in computing

have caused significant changes in the

cartography. The procedures for generating, updating,

quality control and use of maps and charts

have undergone profound changes. The analysis process

the quality of maps defined for a product

cartography, needs to be revised, since what

if it has in the present day is a cartographic document of

different characteristics, the digital map.

The scale of the chart shows a relationship

measure registered in the model and its

surface. This physical imposition brings

consequences: one is that the scale depends on the

amount of information to be represented and the degree of

accuracy with which this information is recorded. O

cartographic accuracy standard is evaluated directly

depending on the scale of the card. As an example, we have

the scale cards 1/2000 that have a limitation

as to the number of possible information to be

and their accuracy. In practice, the

graphical limitation compels a final letter error

ranging from 0.80m to 2.00m.

The assessment of positional accuracy generates a

Reliability mapping, which shows effectively

its accuracy, through the spatial distribution of error,

so that the user can have a visual indication

reliability of your information.

The positional accuracy in analog charts is

inherent in the scale. The user defined the scale and

indirectly it was associated with a quality value

geometric

With the technological advance this

changed rapidly. The use of information technology in

all phases of construction of a letter

as the final product of cartography a digital card,

without a direct scale, but should present a

measure of dispersion of metric information

registered in relation to their

ground.

Another feature of the cards in digital format

is the absence of limits on the amount of

information to be stored, which can

be overlapped, or withdrawn, depending on the

need for this or that information.

For the accomplishment of the digital cartography it is

necessary for users to clearly define

information need to be represented on the maps

to develop their projects and, what is the

positional accuracy required.

Although the accuracy of the letter is

importance in the evaluation of its quality, there is still

the concern with up-to-date and adequate information

to evaluate the quality of spatial data. This

includes source details and use of a database

particular, in addition to quantitative quality measures.

The proposal to describe the quality of spatial data is

enable producers to understand how their product will

meet specifications and users, define their

requirements.

-----> Evaluation and qualification standards for

current cartographic products (without considering the

PEC).

With so many technologies available on

today the degree of accuracy is obtained with

higher than those required by the PEC. This standard is

as a support, a basis for the evaluation of the

products generated by these new technologies.

However, there is no

control, since the PEC serves as an evaluation for the

cartography and not for other products

cartographic.

This lack of standardization means that

information-producing organizations

georeferenced to follow conceptual rules linked to

to the system they use. The result is a

heterogeneous environment, where each organization has its

way of dealing with spatial information.

 However as seen above there is no

specificity of how these new technologies should

be tested and evaluated for their accuracy. Per

lack of standardization to evaluate such products

This opens a gap and

cartographic products establish their own

standards to qualify your work.

Geographic data can commonly be

characterized by three components

position, theme and time; or, in a manner

equivalent, spatial, non-spatial and temporal

(Medeiros and Alencar, 1999).

The characteristics that affect the quality of

geographical data can be grouped according to

[Aro89] in three categories: level components

micro-level components and components

use.

I'll check it and send feedback,

The question is not clear, please explain it in detail.

Tarik Chafiq , have many point on maps and routing on them which some of the ways are not in a convex hull of points (because they are one-way route) and we can't decide as primary decision and this part is scenario base