This tutorial provides instructions for using the StatPlanet software to create interactive maps and visualizations. It discusses downloading and installing StatPlanet, importing shapefiles and data to create maps, different map types (choropleth, proportional symbol), customizing map features and options, and troubleshooting. The document aims to enable non-technical users to explore and communicate data through interactive maps and visualizations using StatPlanet.
Koreksi geometrik dan geolink er mapper 7.0Rusdianto
Menurut Mather (1987), koreksi geometrik adalah transformasi citra hasil penginderaan jauh sehingga citra tersebut mempunyai sifat-sifat peta dalam bentuk, skala dan proyeksi.
Berikut adalah presentasi yang saya sampaikan di depan rekan-rekan RSUD Ende mengenai persiapan penyusunan dan implementasi clinical pathway. Sebagian besar presentasi saya susun berdasarkan referensi. Sebagian saya ambil dengan ijin dari presentasi dr. Hawa Mustika, dr. F. R. Herin Anggreni, dan Sekar Chandra Dewi, Apt.
Koreksi geometrik dan geolink er mapper 7.0Rusdianto
Menurut Mather (1987), koreksi geometrik adalah transformasi citra hasil penginderaan jauh sehingga citra tersebut mempunyai sifat-sifat peta dalam bentuk, skala dan proyeksi.
Berikut adalah presentasi yang saya sampaikan di depan rekan-rekan RSUD Ende mengenai persiapan penyusunan dan implementasi clinical pathway. Sebagian besar presentasi saya susun berdasarkan referensi. Sebagian saya ambil dengan ijin dari presentasi dr. Hawa Mustika, dr. F. R. Herin Anggreni, dan Sekar Chandra Dewi, Apt.
TEKNIK PENCARIAN (SEARCH) lanjutan:
• Teknik Pencarian Blind Search
• Teknik Pencarian Heuristic Search
• Teknik Search
• Topologi Proses Search
• Metode Search Breadth First Search
Sistem Informasi Kesehatan Daerah Generik atau SIKDA Generik merupakan aplikasi yang digunakan dalam pengelolaan informasi kesehatan di Puskesmas dan Dinas Kesehatan Kabupaten/Kota.
SIKDA Generik sendiri terbagi menjadi 2 (dua) aplikasi utama yaitu : aplikasi SIMPUS yang digunakan untuk menangani pencatatan dan pengelolaan informasi kesehatan di Puskesmas, dan aplikasi SIM DINKES, yang digunakan untuk pengelolaan data dan pelaporan di tingkat Dinas Kab/Kota.
Tiga Cara Memotong file Raster Sesuai Batas Polygon Menggunakan ArcGISbramantiyo marjuki
How to Clip Rasters Using Polygon, Summary of mini course at Thematic Mapping Technical Unit of Ministry of Public Works center data processing, March, 10th, 2015
Guide shared by Ed Sharron, science communications specialist, Inventory and Monitoring, NE Temperate Network, NPS, during 2011 THV summer institute, Place & the Digital Native: Using Technology and Social Media to Teach the Hudson Valley
TEKNIK PENCARIAN (SEARCH) lanjutan:
• Teknik Pencarian Blind Search
• Teknik Pencarian Heuristic Search
• Teknik Search
• Topologi Proses Search
• Metode Search Breadth First Search
Sistem Informasi Kesehatan Daerah Generik atau SIKDA Generik merupakan aplikasi yang digunakan dalam pengelolaan informasi kesehatan di Puskesmas dan Dinas Kesehatan Kabupaten/Kota.
SIKDA Generik sendiri terbagi menjadi 2 (dua) aplikasi utama yaitu : aplikasi SIMPUS yang digunakan untuk menangani pencatatan dan pengelolaan informasi kesehatan di Puskesmas, dan aplikasi SIM DINKES, yang digunakan untuk pengelolaan data dan pelaporan di tingkat Dinas Kab/Kota.
Tiga Cara Memotong file Raster Sesuai Batas Polygon Menggunakan ArcGISbramantiyo marjuki
How to Clip Rasters Using Polygon, Summary of mini course at Thematic Mapping Technical Unit of Ministry of Public Works center data processing, March, 10th, 2015
Guide shared by Ed Sharron, science communications specialist, Inventory and Monitoring, NE Temperate Network, NPS, during 2011 THV summer institute, Place & the Digital Native: Using Technology and Social Media to Teach the Hudson Valley
InnerSoft CAD is a plug-in for AutoCAD that installs a set of productivity tools for Civil and Survey engineering, Counting, Estimating and measurements in construction project budgets. You can:
Export to an Excel Sheet the values of Area/Length property or coordinates for various AutoCAD entities.
Import from an Excel Sheet the vertex coordinates for a set of 2D polylines or 3D polylines (you can choose between 3 different methods). You can also import a set of points from Excel or a set of Texts with an insertion point for each one.
Extract all block definitions of a drawing in individual AutoCAD files (each block definition in a single file).
Sum the area or length property of a set of objects. Sum accumulated distance of a user defined walk in the drawing.
Draw the longitudinal profile of a set of entities from a user defined axis. Triangulate a set of points or mesh a model surface.
Take measurements on AutoCAD for construction project budgets.
Create, open or save different libraries, which contain a series of AutoCAD drawings (*.dxf or *.dwg) organized by books.
http://innersoft.itspanish.org/en/index.htm
Over the years that I’ve taught the various infrastructure products from Autodesk, most are not familiar with the different tools to generate plans quickly. AutoCAD includes the Sheet Set Manager at the core level to address basic sheet creation and title block data administration. Map 3D includes the MapBook tool to generate plans that require a grid arrangement. Lastly, Civil 3D has Plan tools that create Plan sheets, Profile sheets, Section sheets and any combination.
Orangescrum Gantt chart Add on User ManualOrangescrum
Orangescrum Gantt chart add-on user manual will help you to know the installation guide for Gantt chart add-on & the features of Gantt chart add-on.
Open source project management tool, Orangescrum Gantt chart add-on: Highly interactive graphical view of multiple tasks, their dependencies, and timelines on a single platform. For more details, please visit: https://www.orangescrum.org/addon-details/ganttchart
Explore the Orangescrum Gantt chart add-on demo at http://newui.orangescrum.org/
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
Stat planet - tutorial
1. StatPlanet
Tutuorial
Team – Blitz
Sathiyaseelan M – 10BM60080
Somaskhandan C – 10BM60087
4/5/2012
2. Contents
1. About StatPlanet ....................................................................................................................... 3
2. Getting Started .......................................................................................................................... 4
Software Installation...................................................................................................................... 4
Importing or Creating Maps ........................................................................................................... 5
Finding a Map ................................................................................................................................ 5
3. Instruction for Loading Shape Files without using Excel .............................................................. 6
4. Create a Map using Adobe Flash ................................................................................................ 6
5. Structuring Source data files prior import .................................................................................. 7
Importing Data .............................................................................................................................. 7
Data File Structure ......................................................................................................................... 8
Setting File Structure ..................................................................................................................... 9
6. StatPlanet Features and Options ................................................................................................ 9
Thematic Map ............................................................................................................................. 10
Choropleth Map ...................................................................................................................... 10
Proportional Symbol Map ........................................................................................................ 10
Map Legend................................................................................................................................. 11
Map colors............................................................................................................................... 11
Data range ............................................................................................................................... 11
Indicator Panel ............................................................................................................................ 11
Graph Panel ................................................................................................................................. 12
Options Panel .............................................................................................................................. 12
7. Troubleshooting ...................................................................................................................... 13
8. Sample Data ............................................................................................................................ 14
3. 1. About StatPlanet
StatPlanet is a visualization tool developed by an Australian company founded by
Frank Van Cappelle from 2008 to 2010. The development of a tailored version of StatPlanet
was undertaken as part of SACMEQ (Southern and Eastern Africa Consortium for Monitoring
Education Quality) research programme at the UNESCO International Institute for Education
Planning (IIEP) Paris, France.
StatPlanet is a Powerful visualization and mapping tool used by many different kinds
oforganizations including UN agencies, Fortune 500 companies, government departments,
NGOs, schools anduniversities to communicate, disseminate and explore data. It is sued by
Children of age 9 and above to learn about the world through interactive maps as part of
IIEP. Greatest strength of StatPlanet is that it enables also non-technical users to explore
statistics throughits user-friendly interface. Moreover, the software automates the normally
complex processes of converting rawdata into interactive maps and visualizations. This
enables even non-technical users to create interactive mapsand visualizations with relative
ease. Users can import their own data and maps (Flash Maps and ESRI shape files) for
visualization purpose.
StatPlanet comes in different versions. The latest version of StatPlanet is V. 3.0 released in
Feb of 2012. There is many version of StatPlanet software namely-
StatPlanet-It is free software for creating interactive maps which are fully
customized. In addition to maps, the software also has the option of including
interactive graphs and charts to create feature-rich info graphics.
StatPlanet Plus- StatPlanet Plus is an advanced version of the free
StatPlanet mapping and visualization software. StatPlanet Plus has the same feature-
rich interface as StatPlanet for creating interactive maps and visualizations, but with
support for large data sets. Desktop version of StatPlanet is free of cost for non-
commercial users, but it has a license issued for commercial purpose which is
charged.
StatPlanet Lite- It is an application for creating online interactive maps.
4. All versions of the software can be used as a standalone version or can be published online.
The aim of the software is to promote evidence based decision making by improving and
facilitating the communication and interpretation of information.
2. Getting Started
StatPlanet is designed to be used both online and offline. The software does
not require any installation. The minimum system requirement is same as required for
Adobe Flash Player CS4.
Software Installation
The software can be downloaded at StatSilk.com. The software downloads as a ZIP
file. There is no requirement to run any exe file as this software does not require any
installation. Unzip the file in a folder location and the software is ready to use. Microsoft
Office Excel and Adobe flash players are the minimum other software which is required.
The above picture shows the folder structure when the ZIP file is unzipped. We see
some subfolders which will be explained in detail. The Create flash map folder is used to
create the map of the country or the region which we want to use. The map can be of two
types- a flash map or ESRI shape file format. Both these format can be used in StatPlanet.
The flash map can be imported into create flash map folder and Shape file maps can be
imported into the shape file folder.
5. Importing or Creating Maps
See statsilk.com to obtain free shapefile maps.
1. In the folder “Shapefile_map_ (ESRI)” open the sub-folder 'map'. Copy your map
files here.
2. Run the file “update_map.bat”. This automates the following procedure which can
also be done manually: (i) remove the included example shapefiles (map of Indonesia), and
(ii) rename your map files (e.g. “mycountry.shp” and “mycountry.dbf”) to “map.shp” and
“map.dbf”. Please note that there are two map folders in “Shapefile_map_ (ESRI)” to which
you need to copy your map files
map (for the offline version)
webmap (for the web version)
3. Open the StatPlanet_data_editor file. Click on the button 'Setup shapefile' (in the
top-left, macros need to be enabled).
4. Select your “map.dbf” file in the map folder, and follow the instructions. Make
sure that the ‘ID’ column is alphabetical (a-z), numerical (0-9), or alpha-numeric (a
combination of alphabetical and numeric characters such as “reg21”). Special characters
such as ē ạ & / - may cause problems in loading the map. If you do not have a suitable ID
column, you could use software such as Open Office Calc to edit the “map.dbf” file and
create/edit an ID column. Open Office Calc is free software (http://www.openoffice.org/).
5. Run StatPlanet to see the results with the included sample data.
Finding a Map
The following are useful websites for finding free shapefiles (regional /
administrative boundaries maps). Note that you need to download the boundary files in the
".SHP" format.
6. Map Library - http://www.maplibrary.org/ - Public domain maps for most countries
in the world. Maps are not guaranteed to be error free and up to date.
UN SALB - http://www.unsalb.org/ - Second Administrative Level Boundaries data
set project. These maps are free but copyright rests with the UN. The maps are
validated by the National Mapping Agencies (NMA) of each UN Member State.
US Census Bureau - http://www.census.gov/geo/www/cob/bdy_files.html - USA
County and District Cartographic Boundary Files.
ArcGIS map resources - http://resources.arcgis.com/content/data-maps/10.0/world
Stanford University map resources - http://www-
sul.stanford.edu/depts/gis/web.html
3. Instruction for Loading Shape Files without using Excel
1. Copy your map shapefiles as explained above.
2. Copy and paste the country IDs from the map.dbf file to replace the existing ones in
the file data.csv.
3. Copy and paste the country names from the map.dbf file to replace the existing
ones in the bottom of the file settings.csv.
4. Copy the ID column header name, and paste it next to 'DBF-ID' in the file
settings.csv.
4. Create a Map using Adobe Flash
To create custom interactive maps for use in StatPlanet, you need the following:
StatPlanet or StatPlanet Plus
Adobe Flash CS3 or higher
A map file in vector format, either Adobe Illustrator (.ai), FreeHand (.fh*, .ft*), or
Adobe Flash (.swf). (See also: Converting images into a suitable vector format)
7. For creating Flash maps, please see the tutorial on http://www.statsilk.com/maps/create-
flash-maps.
5. Structuring Source data files prior import
When importing data using the StatPlanet Data Editor, data will automatically is organized
using the correct data structure as described in the section “Data file structure” below. The
import macro is able to recognize many different data structures. However, to ensure
importing of both indicators and years is successful it is recommended that your source data
file is structured similarly to the example Excel file
“data_example_for_import_worldmap.xls” included with StatPlanet. This example includes
data for multiple indicators and multiple years.
Data can only be imported one category at a time. Therefore, it is a good idea to organize or
group your data sets into categories prior to importing, for example, one category per Excel
sheet or Excel file. Data can then be imported one file or Excel sheet at a time. The category
names cannot be imported and need to be edited manually.
Importing Data
Data can be imported through the following steps:
1. Open the StatPlanet Data Editor.
2. Enable macros in Excel.
3. Click the button 'Import data' and select a data file to import the data.
4. Click on 'Save data' once you are done.
The next section describes in more detail how data needs to be structured. Data can also be
copied and pasted manually to the Excel sheet 'Import' following the data structure
described in this section.
8. Data File Structure
Data in the StatPlanet Data Editor consists of 11 columns containing category names,
indicator names and meta-information. This is followed by x number of columns for the
countries or other map areas (where x corresponds to the number of countries / map
areas). Data is edited in the sheet “Import”. When clicking on “Save data”, a copy is saved to
the sheet “Data” prior to saving the file as “data.csv‟ (removing duplicate indicator names
to reduce file size). The “data.csv‟ file is the actual data file read by StatPlanet.
Columns 1, 2 and 3 contain the Category names, Years and Indicator names respectively.
Columns 4 to 11 are optional and can be left blank.
The most important columns are therefore columns 1 to 3, which need to be structured
according to the following rules:
Data is structured first by category, then by year, and then by indicator.
Years must be in order from highest to lowest.
Each category has its own list of indicators. However, „within‟ a category, the list of
indicators must be exactly the same for each year.
Spacing (empty cells in white) between the different categories, years and indicators
need to be maintained as shown in the example below. See also the included
example data which comes with StatPlanet for a more elaborate data structure. In
the example below, please note that there are empty spaces between each category
and between each year, as well as an empty space between each list of indicators.
9. Setting File Structure
This section is for those who wish to create or edit the settings.csv file manually, rather than
using the StatPlanet Data Editor.
The setting.csv file consists of three parts, which are extracted from different sheets in the
StatPlanet Data Editor:
1. Map Coordinator
Found in Sheet “Map Regions”.
The structure for the map coordinates consists of the heading “MAP”, followed by at
least one line providing the startup coordinates of the map (in the order - X
coordinate, Y coordinate, zoom level).
Found in the sheets “Settings” and “Text-Translations”.
2. Names (Optional)
Found in the sheet “Text-Translation”, a copy of which is found in the sheet
“Import”.
The map area names are optional. If left out the country or the country or other map
area names will be the same as the country/map area codes in the sheet “Data”. The
structure of the “names” section consist of the heading “names”, followed by a list
of country or other map area names. The order of the names should be the same as
the order of the corresponding country / map area codes in the sheet “Data”, but
transposed vertically rather than horizontally. The sheet “Data” and corresponding
file “data.csv” are described.
6. StatPlanet Features and Options
10. Thematic Map
Choropleth Map
This is the main thematic map type in StatPlanet. The map legend shows which map colors
areassociated with each data range (for example, higher values may be shaded in
increasinglydarker colors). Both the map colors and the data range can be customized (see
Map legendbelow). In version 2.1, the possibility of creating qualitative or descriptive maps
wasintroduced. These types of maps convey non-numerical information, such as which
languagesare spoken in different regions.
Proportional Symbol Map
A proportional symbol map scales symbols (usually circles) according to the indicator
beingmapped. Each symbol can represent a country or other map region. In StatPlanet the
symbolmap is overlaid on top of the choropleth map (see above). This means that two data
sets can beshown on the same map – one for the choropleth map and one for the symbol
map.To show the symbol map, click the symbol icon (shown on the left) in the bottom-left
11. corner ofthe screen. If you have bookmarked an indicator, the symbol map represents the
data for thebookmarked indicator, whereas the choropleth map represents the data for the
selectedindicator. (If the bookmarked indicator is currently selected, both the symbol map
and thechoropleth map represent the bookmarked indicator).
Map Legend
Map colors
Clicking on any of the colors in the legend will bring up a color selection panel. Inthis panel
you can change both the colors (either Sequential or Diverging color schemes), aswell as the
number of color classes (between 3 and 9). The color schemes are from the ColorBrewer
website (http://colorbrewer2.org/), which is an excellent resource for more informationon
selecting map colors.
Data range
To adjust the data range of the map legend, click on the top or bottom value. Usethe popup
to increment or decrement the value, or enter a whole new value. The intermediatevalues
will be adjusted automatically.
Indicator Panel
Select Category-Use the drop-down menu in the top of the indicators panel to select
a new category (onlineversion only). Select Regions-Use the drop-down menu in the top of
the indicators panel to select and zoom into a differentregion, such as 'Africa' or 'Europe'. It
is also possible to select countries to define a customregion.
Indicator bar- The bars are scaled in proportion to the maximum value of that
particular indicator for allcountries in the selected region. For example, if the value for
country X is 20 and themaximum value for all countries is 100, the bar will be scaled at 20%.
Book Mark Indicator- Click the 'star' button in the indicators panel to bookmark the selected
indicator. Thebookmarked indicator will stay even when you switch to another category.
This allows youto (i) create scatter plot graphs, (ii) compare the bookmarked indicator with
12. indicatorsfromother categories, and (iii) compare two indicators through the choropleth
map (representingthe selected indicator) and the proportional symbol map (representing
the bookmarkedindicator).
Indicator Definition- If a definition exists for an indicator, the definition will appear in a
popup when moving themouse over the indicator. The definition only shows for the
indicator which is selected or bookmarked.
Graph Panel
Bar Chart-Click the 'graph' button in the bottom-left corner of the screen to open or
close the Graph panel.You will find the same graph button in the graph panel. Use this
button to switch betweenhorizontal and vertical bar charts.Use the "sort" button to sort the
graph from lowest to highest, highest to lowest, highest tolowest starting in the middle, or
alphabetically.
Time Series- In the top left of the Graph panel (see "Bar chart" above) you will find the time
series button.When you click on this button, a list of countries appears which you can add to
the time seriesgraph. Click on a country to add it to the graph, and click on it again if you
wish to remove it.
Scatter Plot- In the top left of the Graph panel (see "Bar chart" above) you will find the
scatter plot button.Clicking on the button will automatically use the selected indicator as
the x-axis variable. Youneed to select a second indicator as the y-axis variable.The x-axis and
y-axis variables can be selected in the Graph panel (see below), or in theIndicators panel
(see Bookmark indicator above).
Press the ‘play’ button to see an animation of changes over time, with each bubble
(point)moving to the corresponding x and y positions (depending on whether data is
available for eachtime interval). If ‘Show trails’ is selected (next to the play button), each
bubble will leave a trailto mark previous positions over time.
Options Panel
In the options we have Map, Graph/Chart, and general Option.
13. 7. Troubleshooting
If you have saved your data but it cannot be read by StatPlanet, most likely there is a
problem with the data structure.Please see point 4 below to see how to structure data by
year (or other time point). Data should start with the more recenttime point. Also make sure
that the indicators listed for each year are exactly the same, and are listed in the same
order.
1. Spelling of names: If the spelling of any of the country/map/region names cannot be
identified, thecorresponding data will not be imported. See “Names not recognized”
above for more information on howtoresolve this problem.
2. Names appear more than once: If the same country/map/region names appear
more than once in your data file,the import macro will only import the data
associated with the first one.
3. No year indicated in the data file, or cannot be detected:All indicators are arranged
according to year. You need to add the year to your data set as the header of a row
orcolumn (depending on how your data is structured). Alternatively, you can import
the data and add the yearafterwards. The data needs to be structured as follows (see
for example the structure of the sample data in
StatPlanet_data_editor.xls):
Group (sort) your indicators according to year. Insert a new row above each group of
indicators. In thisnew row add the year in the YEAR column. Leave the neighbouring
cell in the INDICATOR column blank;
Note that the YEAR column should be blank in the cells next to the indicators:
4. Decimal Point: StatPlanet reads a "dot" as decimal separator (for example 0.75).
Avoid using commas, spaces orother symbols in numbers to ensure that they are
read properly by StatPlanet.
14. 8. Sample Data
We have downloaded the tourism data for India from Indiastat.com which shows the
foreign tourist arrival from different countries and also the breakup of foreign tourist arrival
across different Indian states. The sample data is given below
2004 2005 2006 2007 2008
Afghanistan 12810 13988 18799 23048 32427
Albania 112 230 228 271 218
Algeria 818 770 1174 1183 1043
Andorra 42 26 100 122 154
Angola 474 543 385 651 1851
Anguilla 0 0 12 21 17
States/
UTs 1997 1998 1999 2000 2001
Andaman and
Nicobar Islands 6028 4915 6035 3156 5539
West Bengal .. ... .....
Andhra Pradesh .. ... .....
This data is used in the StatPlanet for visualization purpose. The final rendering of maps is
shown below-
15. Comparison of foreign tourist arrivals to Delhi, Tamil Nadu & Maharashtra from 1997 to
2010 is shown in the graph below
16. Statplanet can render cross sectional and time series data with ease. The international
tourist arrival is shown below
The foreign tourist arrival from Asia pacific region is shown below
17. Foreign tourist arrival in the year 2008 from Europe is shown below
Proportional Symbol map of the foreign tourist is shown below