Degree | Type | Year |
---|---|---|
Geography, Environmental Management and Spatial Planning | OB | 3 |
You can view this information at the end of this document.
There is no prerequisites in this course.
Space Analysis and Models is taught in the third course in the Degree Geografia, Medi Ambient y Planificació Territorial.
The objectives are:
BLOCK 1. Introduction to modeling and the scientific method
BLOCK 2. Theory of Networks
BLOCK 3. Interaction Models
BLOCK 4. Allocation Models
BLOCK 5. Linear Programming and Simplex Method
BLOCK 6. Transport Models
BLOCK 7. Localization Model - Assignment (L - A)
In the different examples, we use non-sexist language and gender perspective will be taken into account.
Title | Hours | ECTS | Learning Outcomes |
---|---|---|---|
Type: Directed | |||
Master classes and exercices | 47 | 1.88 | KM31, SM24, KM31 |
Type: Supervised | |||
Supervision of exercices and course work | 25 | 1 | CM21, KM31, CM21 |
Type: Autonomous | |||
Own study, plannning and execution of exercices and course work | 75 | 3 | CM21, KM31, CM21 |
The subject is structured from supervised and autonomous supervised activities where the student will learn to develop interactively in the contents of the subject with the support of the teaching staff, at different levels.
The contents of the subject will be developed through the following activities:
The practical activity is structured in two axes:
In the different examples gender aspects will be taken into account.
Annotation: Within the schedule set by the centre or degree programme, 15 minutes of one class will be reserved for students to evaluate their lecturers and their courses or modules through questionnaires.
Title | Weighting | Hours | ECTS | Learning Outcomes |
---|---|---|---|---|
Assistance | 5% | 0 | 0 | KM31, SM24 |
Course exercices | 30% | 0 | 0 | CM21, KM31, SM24 |
Course work | 25% | 0 | 0 | CM21, KM31, SM24 |
Exam | 40% | 3 | 0.12 | KM31, SM24 |
A) ASSESMENT ACTIVITIES:
1 - Theoretical and practical exam to evaluate the contents. It consists of two partial examinations with a duration of one hour and a half each with a weight of 40% of the note.
Assessment of the exam:The partials will consist of two parts: a theoretical part and a practical part. From the theoretical part, the relevance of the answer, the achievement of the degree of knowledge on the subject will be valued. And, of the practical part will value separately the approach, the resolution and the interpretation of the results, as well as the correct realization of the calculations. To pass the exam you must have a 5 in each part of the exam. No half of the two parts will be made if they are not approved.
2 - The practical part, will be carried out in group, the activities will be delivered during the semester:
2.1 - Individual assessment practices with a weight of 35% of the mark.
2.2 - Course work with a weight of 25% of the mark.
2.3 - Assistance with a weitght of 5% of the mark.
Assessment of the practices: The formal aspects, the correct calculation of the indicators (as long as this is the objective of the practice), the adequate realization of a structured analysis on the results obtained, the interpretation of the results, in the case Specific of the analyzes of the texts will be especially valued the capacity to extract and exhibit the most relevant information and relate it to the contents of the subject.
Assessment of the course work: The formal aspects, the approach of the objectives, the problem and the models used for an improvement in the planning of the services, the definition of the analysis variables, the resolution of the results, discussion, conclusions and oral presentation in class.
B) OTHER CONSIDERATIONS
In order to calculate the average with the course exercises and the course project, it is MANDATORY to have passed both the practical and theoretical exams. If the exam has not been passed, the average with the other assessment components will not be calculated.
Continuous assessment requires the MANDATORY submission of all learning activities in order to pass the course.
Exercises submitted after the deadline will receive a maximum grade of 5.
To be eligible to sit for the exam, it is MANDATORY to have submitted all exercises. Late submissions after the exam date will not be accepted. Students who fail to submit the required work will not be allowed to take the exam.
C) NOT ASSESSED
Students who fail to submit at least 1/3 of the assessed activities will receive a Not Assessed grade.
D) REVIEW PROCEDURE
At the time each assessment activity takes place, students will be informed via the Moodle platform about the procedure and date for reviewing grades.
E) RE-EVALUATION
Students may retake failed practical and theoretical exams, provided they were previously attempted. It is not possible to retake an exam that was not previously assessed.
Assessment activities (course project, exercises, practical and theoretical exams) cannot be retaken if they were failed due to plagiarism, copying, or fraudulent use of AI.
The maximum grade for a resit exam is 7 out of 10.
F) PLAGIARISM
If a student commits any irregularity that may significantly affect the grade of an assessment activity, that activity will be graded with a zero, regardless of any disciplinary actions that may be initiated. If multiple irregularities occur in assessment activities for the same course, the final grade for the course will be zero.
G) SINGLE ASSESSMENT
This course does not offer a single (final-only) assessment system.
H) AI
This subject allows the use of AI technologies exclusively for support tasks such as [***bibliographic or content-based searches, text correction or translations, where applicable]. In the case of subjects in a Modern Languages degree, use of translation must be specifically authorised by the teacher. Other specific situations may be contemplated, as deemed appropriate by the teacher.
The student must clearly (i) identify which parts have been generated using AI technology; (ii) specify the tools used; and (iii) include a critical reflection on how these have influenced the process and final outcome of the activity.
Lack of transparency regarding the use of AI in the assessed activity will be considered academic dishonesty; the corresponding grade may be lowered, or the work may even be awarded a zero. In cases of greater infringement, more serious action may be taken.
The references will be complemented during the semester.
Basic References
GRIMA, Clara (2021). En busca del grafo perdido. Barcelona: Editorial Planeta.
HAGGET, Peter (1988). Geografía. Una síntesis moderna. Barcelona: Editorial Omega.
HAGGET, Peter (1976). Análisis locacional en geografía. Barcelona: Gustavo Gili.
HAGGET, Peter; CLIFF, Andrew D. i FREY, Allan (1977). Locational analysis in human geography. Vol. I: Locational modelos. Vol. II: Locational methods. London: Edward Arnold.
HARVEY, David (1983). Teorías, leyes y modelos en geografía. Madrid: Alianza universidad.
ROBINSON, Guy .M. (1998). Methods and techniques in human geography. New York: Wiley.
Complementary References
ABLER, R. et al. [Eds.] (1972). Spatial Organization. The Geographer s View of the World. London: Prentice-Hall International, Inc.
ALEGRE, P. y Tull, A.F. (1986). "Métodos de cuantificación aplicados a la planificación territorial yurbana". Asociación de Geógrafos Españoles [Ed] Métodos cuantitativos en geografía: Enseñanza, investigación y planeamiento. Madrid: A.G.E; pp. 240-267.
BOSQUE SENDRA, J. y MORENO, A. (2004). Sistemas de Información Geográfica y localización de instalaciones y Equipamientos. Madrid: Ra-Ma.
BUNGE, M. (1983). La investigación científica. Barcelona: Ariel.
CHISHOLM, M (1968). Geografía y Economía. Vilassar de Mar: Oikos-Tau.
CHORLEY, R. I HAGGET, P. (1971). La geografía y los modelos socioeconómicos. Madrid: Instituto de Estudios de Administración Local, col. Nuevo Urbanismo.
GELFAN, Alan E., et al. (2010) Handbook of Spatial Statistics. 1st ed., vol. 2, CRC Press. https://doi.org/10.1201/9781420072884.
JOHNSTON, R.J. et al [Eds.]. (1988). The dictionary of human geography. Oxford: Basil Blackwell, 2nd edition.
KENT, J. T., i MARDITA, K. V. (2022). Spatial analysis. New Jersey: Wiley.
KILL, J. (1983). Mathematical programming methods for Geographers and planners. London and New York: Croom Helm and St. Martin s Press.
PÁSZTO. Vít (2020). "Economic Geography". Vít Pászto, Carsten Jürgens, Polona Tominc, Jaroslav Burian (eds). Spationomy. Londres: Springie; 173-192 Shttps://link-springer-com.are.uab.cat/book/10.1007/978-3-030-26626
TAYLOR, P. J. (1977). Quantitative methods in geography. Prospect Heights. An Introduction to Spatial Analysis. Boston: Houghton Mifflin Company.
THOMAS, R.W. y HUGGET, R.J. (1980). Modelling in geography. A mathematical approach. London: Harper & Row, Publishers.
Software:
LINDO
AracGis Pro
QGis
Please note that this information is provisional until 30 November 2025. You can check it through this link. To consult the language you will need to enter the CODE of the subject.
Name | Group | Language | Semester | Turn |
---|---|---|---|---|
(PAUL) Classroom practices | 1 | Catalan | second semester | morning-mixed |
(PLAB) Practical laboratories | 11 | Catalan | second semester | morning-mixed |
(PLAB) Practical laboratories | 12 | Catalan | second semester | morning-mixed |
(TE) Theory | 1 | Catalan | second semester | morning-mixed |