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Getting Started with GEO, CouchDB and Node.js by Mick Thompson

Posted by shawnday on 30 August 2011
Posted in: Review. Tagged: O'Reilly, Review. Leave a Comment

geo couchdb.gif Why? Unfor­tu­nately I quickly come to this ques­tion and don’t get an answer when read­ing Get­ting Star­ted with Geo, CouchDB and Node.js. The brief sum­mary and end piece of the book enticed me. The premise appeared to be: today’s tech­no­logy tells us where we are, so how can we best work with this loc­a­tional data? Good premise. Anti­cip­at­ing that this might be a deeper than I would typ­ic­ally attempt to go pro­gram­mat­ic­ally, the idea of put­ting together a use­ful applic­a­tion as an exer­cise appealed to me.

I can usu­ally back­wards engin­eer how we will get there. The point being: when I know why I am doing some­thing it gives me the con­text and in this I can often parse in the miss­ing bits. I will admit up front that I do not have a rig­or­ous hands-on code back­ground. I can usu­ally work my way through things, but I do need to know why I am doing some­thing to determ­ine how it is actu­ally happening.

 

This unfor­tu­nately is where I find a a prob­lem with the author’s approach in this book and why it is not dir­ec­ted at me. I am sure there are oth­ers who will find this an appro­pri­ate and pos­sibly great book. Of the three tech­no­lo­gies men­tioned in the title, I have some grasp on node.js. CouchDB I only know by name. Geo encom­passes some con­cepts I do know such as GeoJSON and G

eohash. So far so good. This is a get­ting star­ted book, and it leads me to believe that I will be start­ing from some meas­ure of scratch. How­ever, after a two para­graph intro­duc­tion that main­tained the tease, I start to dive in and am imme­di­ately lost.

 

The first chapter is on Node.js. and moves very quickly into the tech­nic­al­it­ies of installing using Node.js, with abso­lutely no explan­a­tion of why I would use it or how this might fit into a big­ger pic­ture. There’s no hand-holding here, just a bunch of rel­at­ively low level dis­cus­sion of asyn­chron­ous call­backs. Why? I don’t know. Who am I mak­ing requests of, what inform­a­tion am I look­ing to retrieve? I have no idea. This is a get­ting star­ted book. It would be appro­pri­ate to explain exactly what sort of prior know­ledge a user will need to use this book. I really can’t seem to see any qual­i­fic­a­tions and Get­ting Star­ted sounds pretty basic to me. I am get­ting star­ted. How­ever, this book is jump­ing in some­where bey­ond where I am. I want to get star­ted, but where can I go for more inform­a­tion? Per­haps the title was meant to pre-qualify who this book is for. Unfor­tu­nately I looked bey­ond that and it really soun­ded like the pro­ject that was being under­taken was some­thing that I could and would do.

I breathed a sigh as the next sec­tion on Geo­graphic Data star­ted a little slower and in fact very well laid out and writ­ten. It is well intro­duced, gives good examples of where you might seek data (i.e. places you may also get some good back­ground inform­a­tion as well). But again there is some assump­tions about basic knowledge.

Quickly I sense that this book is far too con­cise. Maybe the editor decided that the 250 page manu­script sub­mit­ted was far too wordy and asked for some massive cuts, I am not sure what was asked, but the end res­ult is some­thing even less than skeletal. The author begs off spend­ing too much time with geo­graphic data formats as he claims this could occupy a full book in itself (it could and a ref­er­ence to one a reader might turn to here would really help). Where are a few of the more com­mon ones? He tells us about ESRI shapefiles. They are com­mon and you might get away with the single para­graph describ­ing them, but where are the other formats? The links to pub­licly avail­able data­sets is mea­gre, but a reas­on­able start. Then we are into GeoJSON and imme­di­ately more info really would be use­ful, even if the user might already have some expos­ure to JSON or even GeoJSON set a found­a­tion, reaf­firm a com­mon under­stand­ing, build a bit of a bond between reader and author. Not there. Ref­er­ences to co-ordinate arrays and fea­ture col­lec­tions need some sort of explan­at­ory declar­a­tion so that reader and author know they are both talk­ing about the same thing. I might be a developer that knows some of the frame­works, but doesn’t have any geo­spa­tial back­ground. At this stage even ref­er­ences to places for more inform­a­tion might be acceptable.

Now we are into CouchDB and yet I don’t quite know why I am being bom­barded with all these tech­no­lo­gies with the assump­tion I already know a fair bit about them. This is the least con­cise chapter yet and we are taken through some brief exer­cises after installing it. The instruc­tions though remain very cryptic to me as I attempt to get started.

This is a very com­pact book. To my taste far too com­pact and doesn’t provide near enough back­ground inform­a­tion for me to really carry out the tasks, or know where to get more inform­a­tion to carry them out. Most cru­cially though I don’t have any sense of why I am car­ry­ing out any of the tasks. The back cover of the book is extremely well writ­ten and led me to believe I would be led through cer­tain tasks as part of a lar­ger pro­ject to build an example pro­ject. The four bul­let points gave me a sense of how the tools that were ref­er­enced in the title fit together and all soun­ded very logical. How­ever, it seems as though the struc­ture of this ‘get­ting star­ted exer­cise’ although impli­cit, does not inform the nar­rat­ive approach at all. Why am I installing node.js? Where else would I use it? Why were par­tic­u­lar frame­works developed? Answers to any of these would help me to under­stand bet­ter what I am doing. But what I really want to know is why I am installing it, or couch­Base, or learn­ing about a shapefile, or know­ing that GDAL is widely used. There are four chapters in this book, and although I wouldn’t con­sider myself par­tic­u­larly stu­pid, and can dis­cern that they must be build­ing into this example pro­ject, the author never men­tions how until we hit the four and final chapter. To be hon­est, he has lost me by then and why I really can­not con­sider this a use­ful tutorial at all. As I men­tioned, per­haps it is just because I don’t have the appro­pri­ate back­ground (clearly I don’t) but I didn’t dis­qual­ify myself when this was touted as a Get­ting Star­ted book and nowhere is any prior exper­i­ence men­tioned. I was dis­ap­poin­ted with this volume. I real­ise that it is meant to be a very brief (48 page) manual, but I feel it is miss­ing many cru­cial explan­at­ory mater­i­als that would actu­ally lead a reader through the book and it also misses a very basic teach­ing meth­od­o­logy of let­ting me know how what I am doing is build­ing to an end that I want to achieve.

I sup­pose that this book may have interest to a developer already famil­iar with all of the tools men­tioned, but that may not have com­bined them pre­vi­ously — but I am not the per­son to judge whether this book meets the needs of that audi­ence. I hope this is a fair review and as I say reflects my expect­a­tions and abil­it­ies. This wasn’t the book for me.

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  • about.me

    Shawn Day

    Shawn Day

    Shawn Day is an entrepreneur, digital historian, economist and blender of the aesthetic and the informative. Raised in Canada, Shawn now works with the Digital Humanities Observatory, a project of the Royal Irish Academy, to leverage Ireland's participation in the emerging practise of digital humanities scholarship. He lectures in Social Computing and the Philosophy of Technology.

    His own research explores the social and economic circumstances of the nineteenth century retail liquor trade and it's impact on family. He applies digital, spatial and social network analysis to the study of the relationships between credit, respectability, and order in the Victorian community. Recent articles have examined the social dimensions of the Victorian public mental hospital using GIS and statistical modeling tools. Shawn has been involved in a number of successful and innovative digital humanities projects throughout Canada. Most recently he has worked with large manuscript census databases in the 1871/1891 census project (University of Guelph). He is a team member of the national TAPoR text analysis portal project, the Canadian Network for Economic History and the Network for Canadian History and the Environment (NiCHE - UWO).

    Shawn has blended his background in management economics with an entrepreneurial ethos to found a number of successful software development ventures in Canada and find a means to leverage this in the academic arena.

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