Spatial Data Studio
===================
General info
------------

**LTOM.02.011 Spatial Data Studio**: The course teaches you how to handle spatial (big) data and provides basic knowledge in spatial analysis methods. The course has hands-on approach.
Course is organized by the Department of Geography at the University of Tartu.


**Lecturers**: PhD Evelyn Uuemaa & PhD Alexander Kmoch & MSc Bruno Montibeller


.. admonition:: License and terms of usage

	We used several parts of FOSS4G GeoAcademy Curriculum materials, under CC-BY-SA from. However, some part have been taken also from other sourses (e.g. Penn State’s online geospatial education programs) and citation.
	Large parts are also our own original materials.
	If you use the materials then we wish that you would also share your materials openly that everyone could benefit from you work, in a similar manner as we provide these materials for you.

	In consequence, we also share our revised materials under `CC-BY-SA <https://creativecommons.org/licenses/by/4.0/>`_

Lectures and lab sessions
-------------------------

`Lecture 1: Introduction (pdf) <_static/studio_docs/Lecture_1.pdf>`_

`Lab session 1 (pdf) <_static/studio_docs/Lab_1.pdf>`_

`Lab session 1 data (pdf) <_static/studio_docs/Lab_1_data.zip>`_

`Lecture 2: Understanding coordinate systems and map projections (pdf) <_static/studio_docs/Lecture_2.pdf>`_

`Lab session 2 (pdf) <_static/studio_docs/Lab_2.pdf>`_

`Lab session 2 data (zip) <_static/studio_docs/Lab_2_data.zip>`_

`Lecture 3: Interoperability and WebGIS  (pdf) <_static/studio_docs/Lecture_3.pdf>`_

`Lab session 3 (pdf) <_static/studio_docs/Lab_3.pdf>`_

`Lecture 4: Introduction to Remote Sensing (pdf) <_static/studio_docs/Lecture_4.pdf>`_

`Lab session 4 (pdf) <_static/studio_docs/Lab_4.pdf>`_

`Lecture 5: Descriptive statistics and data classification in GIS  (pdf) <_static/studio_docs/Lecture_5.pdf>`_

`Lab session 5 (pdf) <_static/studio_docs/Lab_5.pdf>`_

`Lab session 5 data (zip) <_static/studio_docs/Lab_5_data.zip>`_

`Lecture 6: Map Design (pdf) <_static/studio_docs/Lecture_6.pdf>`_

`Lab session 6 (pdf) <_static/studio_docs/Lab_6.pdf>`_

`Lecture 7: Urban Data and Geoprocessing (pdf) <_static/studio_docs/Lecture_7.pdf>`_

`Lab session 7 (pdf) <_static/studio_docs/Lab_7.pdf>`_

`Lecture 8: Data Quality and Data Aggregation (pdf) <_static/studio_docs/Lecture_8.pdf>`_

`Lab session 8 (pdf) <_static/studio_docs/Lab_8.pdf>`_

`Lecture 9: Global Environmental Data I - Climate  (pdf) <_static/studio_docs/Lecture_9.pdf>`_

`Lab session 9 (pdf) <_static/studio_docs/Lab_9.pdf>`_

`Lecture 10: Global Environmental Data II - Elevation, Soil, Land Cover (pdf) <_static/studio_docs/Lecture_10.pdf>`_

`Lab session 10 (pdf) <_static/studio_docs/Lab_10.pdf>`_

**Course development is supported by**:

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